Inve Blog
How to Analyse an Auto Ancillary Stock (Content/Vehicle)
How to analyse an auto ancillary stock in India: read content per vehicle, OEM vs replacement vs export mix, EV exposure, RM pass-through and the order book.
Inve Content Team · 24 June 2026
Here is a number that should reframe how you look at every auto parts stock you own. When an analyst on Uno Minda's July 2025 call asked, plainly, how much more the company earns from an electric Vitara than a petrol one, the management's answer was not a percentage on volumes — it was a rupee figure per car: "the EV fit value, what plant we are setting up in Khed, that itself will be around 1 lakh plus kind of a number per vehicle" (Uno Minda Q1 FY26 concall, 7 August 2025). (Illustration of how to read the numbers, not a view on the stock.)
Sit with that. India makes roughly the same number of cars it did three years ago — passenger-vehicle volumes are flat-to-low-single-digit growth. Yet here is a supplier saying the content it can sell into a single vehicle is rising by a lakh of rupees as the powertrain changes. That gap — between how many vehicles get built and how much money a supplier earns inside each one — is the entire game in this sector. An investor who watches industry volume is watching the wrong screen. The one who watches content per vehicle is watching the business.
This is how to read an auto ancillary the way a sector analyst does: the handful of operating numbers that decide the outcome, where they hide (most are not on the income statement — they are buried in the concall and the investor deck), what "good" looks like, and the one red flag that has cost auto-parts investors more than any earnings miss.
A boundary first, said out loud: from the outside you will not model a component-by-component bill of materials. What you can do is read the direction of content, mix, and the order book — and check whether management's account of them survives the next four calls.
What actually makes money in this business?
An auto ancillary sells parts to whoever builds or runs vehicles. Strip it down and the economics rest on three questions, in order: how much of each vehicle do we supply (content per vehicle), who do we sell it to (an original-equipment maker on a contract, the replacement market off the road, or an export customer abroad), and can we make the part for less than we charge after the cost of steel and aluminium moves. Volume — how many vehicles India builds this year — matters least, because a supplier can grow earnings in a flat market simply by putting more of its kit into each car.
That reorders two beginner errors. First, end-market volume is the weakest driver, not the strongest — pinning an auto-parts thesis to "India will make more cars" ignores that the best ancillaries compound by raising their take per vehicle regardless. Second, margins here are made or lost on raw material and mix, not on cleverness — steel and aluminium can be 50–60% of a component's cost, so the question is never just "are sales growing?" but "is the content per vehicle rising, is the mix shifting toward higher-value parts, and does the contract let them pass commodity costs through?"
Think of it like a plumber who fits out new houses. The number of houses being built in the city barely moves year to year. But if this plumber stops fitting only the taps and starts fitting the taps, the pipes, the water heater and the smart controller, his revenue per house triples while the city's construction stays flat. Auto ancillaries that win are the ones quietly enlarging their scope inside each vehicle. The ones that lose are still fitting taps.
The metrics that matter — and where they hide
These are sector-specific. Generic margin and ROE ratios apply, but the numbers below are what separate someone who understands an auto ancillary from someone reading the P&L. Most are not on the income statement — flag where each one lives.
1. Content per vehicle (or "kit value")
What it is: the rupee value of parts a supplier sells into one vehicle. The single most important number in the sector, and almost never a reported line item.
Why it matters here: it is the lever that lets a supplier grow faster than the car market. A flat-volume year is fine if content per vehicle is climbing. The cleanest demonstration is the electrification jump — Uno Minda told an analyst its EV-specific kit (the Khed plant) would carry an "EV fit value… around 1 lakh plus kind of a number per vehicle" versus a much smaller petrol-car content (Uno Minda Q1 FY26 concall, 7 August 2025). Same company, same factory footprint, a multiple of the revenue per car simply because the powertrain changed.
Where to find it: buried in the concall Q&A and investor presentation — you will not find "content per vehicle" on any financial statement. It surfaces when an analyst asks "what's your kit value on the new platform?" and management answers in rupees per vehicle. This is the metric most worth reading transcripts for.
What good looks like: content per vehicle rising year over year, ideally faster than the company's volume — and management able to quantify it on a new platform rather than waving at "higher value-add."
2. OEM vs replacement vs export mix
What it is: the split of revenue between original-equipment manufacturers (parts sold to carmakers for new vehicles), the replacement/aftermarket (parts sold for vehicles already on the road), and exports.
Why it matters here: the three behave completely differently. OEM revenue is contracted, sticky and high-volume but lower-margin and cyclical with car production. Replacement/aftermarket is the prize — it grows with the parc (the total fleet on the road, which only ever rises), is higher-margin, and is far less cyclical because brakes wear out in a recession too. Exports add a third leg and a currency dimension. A supplier that is 90% OEM lives and dies by carmaker schedules; one with a real aftermarket book has a shock absorber.
Where to find it: the investor presentation usually has the pie chart; the concall has the growth rates. Uno Minda, for instance, reported aftermarket revenue of ₹374 crore in Q3 FY26, around 7% of consolidated revenue (Inve data, Q3 FY26), and international business at roughly 9–11% of revenue (Inve data, Q2 FY26) — the rest is OEM. Knowing that split tells you how much of the book is contracted versus replacement-driven.
What good looks like: a growing, higher-margin aftermarket share and some export diversification — not 100% dependence on a handful of domestic OEM platforms.
3. EV exposure (the BEV revenue and order-book share)
What it is: how much of today's revenue, and tomorrow's order book, comes from battery-electric vehicles versus parts that disappear when the engine does.
Why it matters here: electrification is simultaneously the biggest opportunity and the biggest obsolescence risk in the sector. A starter motor and a fuel-injection part vanish in an EV; a differential gear, a sensor or a wiring harness can be larger and more valuable. The question for any ancillary is: is your content per EV higher or lower than per engine car, and how much of your future book is already electric? Sona Comstar is the cleanest read here — BEV revenue was about 39% of its revenue in Q4 FY26, and EVs made up around 70% of its net order book (Inve data, Q4 FY26), with management stating "the total order book stands at Rs.237 billion as of Q4 FY26… with EVs contributing 70%" (Sona Comstar Q4 FY26 concall). A supplier whose future book is 70% electric is positioned for the transition; one still selling 90% engine-only parts is harvesting a melting ice cube.
Where to find it: the investor deck and concall — BEV revenue share and EV order-book share are presentation metrics, not P&L lines. (Illustration, not a view on Sona Comstar.)
4. Raw material — steel and aluminium pass-through
What it is: how a supplier absorbs or passes on swings in steel, aluminium, copper and resins, which dominate component cost.
Why it matters here: with RM at 50–60% of cost, a single bad commodity quarter can erase margin if the contract has no pass-through, or if the pass-through lags by a quarter. The thing to test is the lag and the formula — do OEM contracts reprice on a quarterly commodity index (good), or does the supplier eat the cost until the next annual negotiation (bad)? Sona Comstar's management, facing tariff and material uncertainty, told investors it was "evaluating alternate materials, including Ferrite, different grades" (Sona Comstar Q4 FY25 concall) — a supplier actively re-engineering its bill of materials is managing RM risk; one silent on it is exposed to it.
Where to find it: the concall is where pass-through mechanics and lags get discussed; the gross-margin trend on the P&L confirms whether the pass-through actually works quarter to quarter.
What good looks like: stable gross margins through a commodity cycle (evidence pass-through works), and management that talks about indexation and material substitution unprompted.
5. Order wins and the order book / book-to-bill
What it is: the value of business won but not yet delivered — the forward visibility of the franchise.
Why it matters here: an ancillary's revenue three years out is largely decided by the programs it wins today, because auto platforms run multi-year. The order book is the closest thing to a crystal ball this sector offers. But read it carefully — it is gross of cancellations and pruning. Sona Comstar's net order book stood at ₹237 billion in Q4 FY26 (Inve data, Q4 FY26), but the same management removed ₹3,600 crore of programs in Q1 FY26 as a deliberate "pruning" (Inve data, Q1 FY26). A net order book that grows while management is honestly pruning weak programs is healthier than one that only ever goes up. For a comparable read, Motherson reported a roughly US$88 billion order book against a Vision 2030 revenue target of US$108 billion (Inve data, Q4 FY25).
Where to find it: the investor presentation carries the headline order-book figure and EV share; the concall carries the net additions, pruning and the win-cadence. Neither is on the financial statements.
What good looks like: a net order book growing faster than revenue (book-to-bill above 1), a rising share of it in your strategic direction (EV, exports, higher content), and management willing to disclose pruning rather than only additions.
How do you value an auto ancillary?
Auto ancillaries are valued on P/E and EV/EBITDA, like most manufacturers — but the multiple should be earned by content-per-vehicle growth and order-book quality, not by where you are in the volume cycle. Here is the trap: these are cyclical businesses, so a low trailing P/E at the top of an auto cycle (peak margins, peak volumes) is a value trap, and a high P/E at the bottom (depressed earnings) can be cheap. Normalise the earnings across a cycle before you anchor on a multiple.
The richer the EV and content story, the higher the multiple the market assigns — and reasonably so. Sona Comstar runs structurally higher margins than the sector — an EBITDA margin around 24–25% (Inve data, Q4 FY26) versus a typical components maker's 11–13% (Uno Minda and Endurance both sit near 11–12% — Inve data, Q3 FY26) — because its mix is differential gears and EV motors, not commodity stampings. A premium multiple on Sona is the market paying for that mix and the 70% EV order book; a premium multiple on a commodity-stamping supplier with no content story is the market paying for nothing. The discipline is to ask what the multiple assumes about content growth, and whether the order book supports it. (Illustration, not a view on any of these stocks.)
So the right lens is two-layered: EV/EBITDA on normalised (cycle-average) earnings to value the base business, and a hard look at whether content-per-vehicle and order-book trends justify any premium to the sector. Volume forecasts are the least reliable input — lean on content and mix instead.
A worked case: what Sona Comstar said versus what it did
The best test of an ancillary is not its current numbers but whether management's forward guidance survives contact with reality. Take Sona Comstar's EBITDA-margin guidance, quarter by quarter, as Inve's Promise Tracker parsed it (illustration, not a view on the stock; figures from Inve data and the company's concalls):
| Call | EBITDA-margin band guided | Verdict |
|---|---|---|
| Q4 FY25 (May 2025) | 25–27% (original) | revised down |
| Q1 FY26 (Aug 2025) | 24–26% (post-acquisition) | revised down |
| Q4 FY26 (May 2026) | 23–25% (revised) | latest |
Read it as a sequence, not three points. A genuinely excellent, well-managed company — Sona's revenue and EBITDA roughly doubled over the three years to FY24, and management noted on its FY24 call that "our revenue and EBITDA have doubled while PAT is 2.4" times (Sona Comstar Q4 FY24 concall) — still walked its margin guidance down in three consecutive steps, from a 25–27% band to 23–25%, as it absorbed an acquisition and a weaker EV-customer quarter. That is not a scandal; it is the cycle and dilution doing their work, disclosed honestly. But it is exactly why you read the direction of guidance rather than trusting the first confident band.
Now the harder one. On its FY25 calls Sona had set out a "revenue doubling cycle" — guidance to grow 2x every three years (FY24–FY27). In Inve's record, that commitment is marked ghosted (Inve data) — it stopped being reaffirmed once revenue growth slowed, rather than being formally retracted. So was the ₹13 billion railway order-execution guidance set in Q1 FY26 (Inve data). Neither is evidence of bad management — Sona is candid and detailed on its calls. It is evidence that a confident multi-year doubling target deserves less weight than the order book and content trend sitting underneath it. A guidance that quietly goes silent tells you more than one that gets formally revised, because silence is the version management hopes you won't notice. This is the pattern Inve's Promise Tracker is built to surface — every forward commitment pinned to the quarter and quote it was made in, with a verdict as later calls come in.
See it on a live earnings call
Browse AI-analysed concall summaries — guidance tables, graded Q&A, and the quotes behind them — for 1,500+ listed Indian companies.
Browse concall summariesRed flags specific to this sector
- Content per vehicle is flat while revenue grows on volume. If the only growth lever is "the customer built more cars," there is no franchise — just a pass-through of the OEM's cyclicality. Ask for content per vehicle; if management can't or won't quantify it, that is the answer.
- 90%+ OEM concentration on a handful of platforms. A supplier whose book is one carmaker's two models is one platform-cancellation away from a profit warning. Thin aftermarket and export legs mean no shock absorber.
- No EV story — or an EV story with lower content per vehicle. Selling engine-only parts (starter motors, injectors, exhausts) into a market electrifying at the margin is harvesting a declining annuity. Worse is an EV "pivot" where the content per electric vehicle is actually below the engine car — growth that dilutes economics.
- Margins that move with steel and aluminium. A gross margin that visibly tracks commodity prices means the pass-through doesn't work — the supplier is a price-taker on both sides. Stable gross margin through a commodity cycle is the tell of real pricing power.
- An order book that only ever rises. A book with no pruning, no cancellations, no honest write-downs of weak programs is a book being managed for the headline. Sona disclosing a ₹3,600 crore pruning (Inve data, Q1 FY26) is healthier than a peer whose book mysteriously never shrinks.
To use the inversion deliberately: don't ask "is this a good ancillary?" Ask — if this management were quietly riding the car cycle while its real franchise eroded, what would the numbers look like? Flat content per vehicle, single-platform OEM dependence, margins that breathe with steel, an order book with no electric share and no pruning. If the company's record doesn't rule that out, the growth you're admiring may just be the customer's volume, borrowed.
Where this lens can be wrong
The strongest case against everything above is that content per vehicle and EV order-book share are management-supplied, forward-looking numbers — not audited, not on the financial statements, and exactly the figures a promotional management would inflate. A "₹1 lakh per vehicle EV fit value" is a target on a plant not yet at full production; a 70% EV order book is a book that can be re-cut or cancelled. An investor who anchors on these soft metrics can be led by the very narrative the company wants told. The discipline, then, is to treat content and order-book claims as hypotheses to be checked against the hard P&L over the next four to eight quarters — does gross margin actually rise as the mix supposedly improves? Does revenue per unit climb? — rather than as facts. The soft number tells you where management says the business is going; only the realised margin and the order-book consumption tell you whether it got there.
And a hard limit: this is a cyclical, capital-intensive sector tied to a global auto cycle no transcript can forecast. A supplier can do everything right on content and mix and still have a brutal year because car production fell, a key customer pushed out a platform, or commodities spiked. Reading content per vehicle lowers your odds of owning a hollow franchise; it does not tell you when the auto cycle turns.
A repeatable workflow
- Anchor on content, not volume. Find content per vehicle / kit value in the concall and deck; track its direction versus the company's own volumes.
- Read the mix. OEM vs replacement vs export — a real aftermarket book is the shock absorber; single-platform OEM dependence is the risk.
- Map the EV exposure. BEV revenue share and EV order-book share — and whether content per EV beats content per engine car.
- Test raw-material pass-through. Does gross margin stay stable through a commodity cycle? Is indexation discussed?
- Read the order book honestly. Net additions, book-to-bill, EV/export share — and whether management prunes or only adds.
- Audit the guidance. Check the margin and revenue guidance against what happened next, across calls — the sequence, not the single number.
Inve's KPI Screener lines up the operating metrics — BEV revenue share, order book, aftermarket share, EBITDA margin — across auto-component companies with a value, a trend and a confidence flag per number, so steps 1–5 take minutes instead of an afternoon of PDFs. And the concall summaries pull every forward commitment into one guidance table per quarter, with speaker and quote — which is where content per vehicle and order-book pruning actually live. If you've read how to analyse an NBFC or how to analyse an EMS company, the instinct is the same: find the few operating numbers the income statement hides, and judge management on the sequence of what they guided versus what they did.
Frequently asked questions
The discipline comes down to refusing to be impressed by revenue that is really just the customer's volume. The business is the content, the mix, and the order book — and all three speak through the concall and the deck, not the profit line. So the owner's question to sit with before you buy any auto parts company is not "will India make more cars next year?" It is: what must I believe about this supplier's content per vehicle, its EV order book, and its pricing power over the next five years — not the next quarter — for it to still be earning more inside each car while the car market stays flat? If the honest answer leans on rising industry volume rather than the company's own widening scope, you have valued the cycle, not the franchise.
Inve is a research and analysis platform, not an investment adviser. Nothing here is a recommendation to buy or sell any security. Do your own research or consult a SEBI-registered adviser before investing.
Inve is a research and analysis platform, not an investment adviser. Nothing here is a recommendation to buy or sell any security. Do your own research or consult a SEBI-registered adviser before investing.