IPO Pricing Case: Setting the Price Band

IPO Pricing Case: Setting the Price Band

After deciding whether a bank should lend to an NBFC, the next finance case tests the other side of capital markets: how should a high-growth company price its public issue? Here, TechCo India is a Software as a Service business, or SaaS, with ₹400 Cr annual recurring revenue, or ARR, 80% gross margins, and 40% YoY growth, looking to list on NSE. In interviews, the key is to avoid a single-number answer and triangulate a defensible IPO price band using valuation methods and book-building signals.

  • Situation: TechCo India (SaaS, ₹400 Cr ARR, 80% gross margins, growing 40% YoY) wants to list on NSE.
  • The case asks you to determine an appropriate price band using multiple methods.
  • The valuation methods are Comparable Co. (Revenue), Comparable Co. (EV/EBITDA), DCF (Base case), DCF (Bull case), and Precedent transactions.
  • Recommended Price Band: ₹28-₹34 - anchored to DCF mid-point and revenue comps, with 15% IPO discount for listing pop.
  • Reference: Zomato IPO priced at ₹76 (8x ARR), Nykaa at ₹1,125 (9x ARR). Both priced at premium to global peers given India growth premium.
  • Book building includes minimum 75% QIB, 15% HNI, 10% Retail, anchor investors allocated 30% of QIB quota pre-opening, and a greenshoe option up to 15% additional allotment.
  • Oversubscription signals matter: Zomato 38x, LIC 2.9x, Paytm 1.9x (poor signal).

Big Picture: IPO Pricing Is a Triangulation Exercise

Book building means Book Running Lead Managers, or BRLMs, gather bids from institutional investors in a price discovery process. The price band is set based on Discounted Cash Flow, or DCF, valuation of business, listed peer trading multiples, precedent IPO multiples in same sector, and investor demand signals from pre-IPO roadshow.

For TechCo India, the output is not one precise valuation. The stronger answer is a range that reconciles revenue comps, EV/EBITDA, DCF scenarios, and precedent transactions before applying book-building judgment.

Valuation Triangulation for TechCo India

Recommended Price Band: ₹28-₹34 - anchored to DCF mid-point and revenue comps, with 15% IPO discount for listing pop.

Book Building Process

Reference: Zomato IPO priced at ₹76 (8x ARR), Nykaa at ₹1,125 (9x ARR). Both priced at premium to global peers given India growth premium. Oversubscription signals also matter: Zomato 38x, LIC 2.9x, Paytm 1.9x (poor signal).

How to Interpret the Valuation Range

The Comparable Co. (Revenue) method gives ₹3,200 Cr implied value and ₹32 per share, based on median peer 8x ARR. The DCF (Base case) gives ₹2,800 Cr and ₹28 per share, while the DCF (Bull case) gives ₹3,600 Cr and ₹36 per share.

The precedent transactions method gives the highest value at ₹4,000 Cr and ₹40 per share, based on recent SaaS M&A at 10x ARR. The EV/EBITDA method gives a lower reference point at ₹2,000 Cr and ₹20 per share, based on peer 25x adj EBITDA of ₹80 Cr.

The recommended band of ₹28-₹34 therefore does not blindly pick the highest output. It is anchored to the DCF mid-point and revenue comps, with 15% IPO discount for listing pop.

Structuring a Case Interview Answer

"TechCo India (SaaS, ₹400 Cr ARR, 80% gross margins, growing 40% YoY) wants to list on NSE. What should be the IPO price band?"

Present a valuation range, not a point estimate. The strongest answer explains why ₹28-₹34 is more defensible than simply taking the highest precedent transactions output of ₹40 per share.

The most frequent error is to pick one valuation method and call it the IPO price. That loses points because IPO pricing must reconcile DCF, comps, precedent transactions, IPO discount for listing pop, and book-building signals.

Conclusion

IPO pricing for TechCo India is a valuation triangulation case: use multiple methods, convert implied values into per-share outcomes, and recommend a defensible price band of ₹28-₹34. In interviews, the takeaway is simple - do not price the IPO as a point estimate; defend the range with valuation logic and book-building evidence.

Mark Lesson Complete (IPO Pricing Case: Setting the Price Band)