Electrovaya (ELVA) Price to Book (2023 - 2026)
Electrovaya's (ELVA) Price to Book was 6.58 for fiscal Q3 2026 (quarter ended Jun 30, 2026), up 26.2% from 5.21 a year earlier and up 25.4% from the prior quarter.
Electrovaya (ELVA) Price to Book (2023 - 2026) Analysis & Trends
For FY2025 (ended Sep 30, 2025), Price to Book at Electrovaya was 7.97, down 14.0% from FY2024.
- By fiscal year, Price to Book came in at 9.27 in FY2024 (-30.9%) and 13.40 in FY2023.
- Five-year quarterly Price to Book spans a low of 3.73 in fiscal Q2 2025 and a high of 15.97 in fiscal Q2 2024.
- Year over year, Price to Book gained in two of the last seven quarters, with an average decline of 18.9%.
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 5.24 (Q2 2026), 5.51 (Q1 2026) and 7.97 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 212.47 Bn | 164.72 Bn | 3.11 Bn |
| 2 | Bloom Energy | 56.73 Bn | 46.66 Bn | 417.10 Mn |
| 3 | First Solar | 18.42 Bn | 9.79 Bn | 713.06 Mn |
| 4 | Nextpower | 14.32 Bn | 10.03 Bn | 345.32 Mn |
| 5 | BWX Technologies | 11.27 Bn | 9.04 Bn | 227.14 Mn |
| 6 | Generac Holdings | 11.25 Bn | 9.99 Bn | 516.04 Mn |
| 7 | Innio | 10.93 Bn | 7.17 Bn | 367.70 Mn |
| 8 | EnerSys | 5.13 Bn | 3.44 Bn | 284.35 Mn |
| 9 | Mirion Technologies | 4.30 Bn | 2.71 Bn | 131.50 Mn |
| 10 | Electrovaya | 185.70 Mn | 123.20 Mn | 6.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.58 |
| Mar 31, 2026 | 5.24 |
| Dec 31, 2025 | 5.51 |
| Sep 30, 2025 | 7.97 |
| Jun 30, 2025 | 5.21 |
| Mar 31, 2025 | 3.73 |
| Dec 31, 2024 | 7.18 |
| Sep 30, 2024 | 9.27 |
| Jun 30, 2024 | 11.46 |
| Mar 31, 2024 | 15.97 |
| Sep 30, 2023 | 13.40 |
Electrovaya 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=ELVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "ELVA", "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=ELVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();