Vyome Holdings (HIND) Price to Book (2016 - 2026)
Vyome Holdings' (HIND) Price to Book was 2.06 for Q2 2026, up 10.0% from the prior quarter.
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Analysis
Vyome Holdings (HIND) Price to Book (2016 - 2026) Analysis & Trends
For FY2025, Price to Book at Vyome Holdings was 1.98.
- By year, Price to Book came in at 19.53 in FY2022 (+70.6%) and 11.45 in FY2021 (-43.0%).
- Five-year quarterly Price to Book spans a low of 1.88 in Q1 2026 and a high of 19.53 in Q4 2022.
- The high point for year-over-year Price to Book in five years was Q2 2023 (growth of 106.0%); the low point was Q1 2022 (a decline of 73.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 1.88 (Q1 2026), 1.98 (Q4 2025) and 3.65 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,230.11 Bn | 1,198.70 Bn | 19.71 Bn |
| 2 | Johnson & Johnson | 644.39 Bn | 564.25 Bn | 17.30 Bn |
| 3 | AbbVie | 503.52 Bn | 476.68 Bn | 12.70 Bn |
| 4 | Merck | 363.29 Bn | 317.72 Bn | 12.21 Bn |
| 5 | Novartis Ag | 298.23 Bn | 262.62 Bn | 11.24 Bn |
| 6 | Astrazeneca | 267.53 Bn | 241.29 Bn | 12.86 Bn |
| 7 | Amgen | 241.80 Bn | 197.20 Bn | 7.24 Bn |
| 8 | Gilead Sciences | 195.07 Bn | 169.19 Bn | 6.22 Bn |
| 9 | Pfizer | 173.33 Bn | 120.28 Bn | 10.94 Bn |
| 10 | Vyome Holdings | 12.63 Mn | -13.48 Mn | 11,658.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.06 |
| Mar 31, 2026 | 1.88 |
| Dec 31, 2025 | 1.98 |
| Sep 30, 2025 | 3.65 |
| Sep 30, 2023 | 9.46 |
| Jun 30, 2023 | 18.96 |
| Mar 31, 2023 | 14.15 |
| Dec 31, 2022 | 19.53 |
| Sep 30, 2022 | 8.94 |
| Jun 30, 2022 | 9.20 |
| Mar 31, 2022 | 14.84 |
| Dec 31, 2021 | 11.45 |
| Sep 30, 2021 | 10.89 |
| Jun 30, 2021 | 17.56 |
| Mar 31, 2021 | 55.60 |
| Dec 31, 2020 | 20.09 |
| Sep 30, 2020 | 10.33 |
| Jun 30, 2020 | 7.12 |
| Mar 31, 2020 | 6.45 |
| Dec 31, 2019 | 9.26 |
API Access
Vyome Holdings Price to Book API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=price-to-book&ticker=HIND&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "HIND", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=price-to-book&ticker=HIND&period=max&api_key=YOUR_API_KEY");
const data = await res.json();