Nextpower (NXT) Price to Book (2024 - 2026)
Nextpower's Price to Book came in at 4.83 for fiscal Q2 2027 (quarter ended Oct 2, 2026), down 11.5% from 5.46 a year earlier and down 27.8% from the prior quarter.
Nextpower (NXT) Price to Book (2024 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Nextpower's Price to Book was 7.71, up 104.6% from FY2025.
- Going back by fiscal year, Price to Book was 3.77 in FY2025 (-54.0%) and 8.20 in FY2024.
- The fiscal Q2 2027 figure represents the lowest quarterly Price to Book since fiscal Q1 2026.
- Year-over-year, Price to Book increased in four of the last seven quarters, with growth averaging 21.2%.
- Business Quant data shows NXT's Price to Book at 6.69 (Q1 2027), 7.71 (Q4 2026) and 6.01 (Q3 2026) in the three fiscal quarters before Q2 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 210.90 Bn | 163.15 Bn | 3.11 Bn |
| 2 | Bloom Energy | 54.82 Bn | 44.75 Bn | 417.10 Mn |
| 3 | First Solar | 19.45 Bn | 10.82 Bn | 713.06 Mn |
| 4 | Nextpower | 15.04 Bn | 10.75 Bn | 345.32 Mn |
| 5 | BWX Technologies | 11.61 Bn | 9.39 Bn | 227.14 Mn |
| 6 | Generac Holdings | 10.72 Bn | 9.45 Bn | 516.04 Mn |
| 7 | Innio | 10.33 Bn | 6.57 Bn | 367.70 Mn |
| 8 | EnerSys | 5.50 Bn | 3.69 Bn | 313.36 Mn |
| 9 | Mirion Technologies | 4.67 Bn | 3.08 Bn | 131.50 Mn |
| 10 | X-Energy | 4.46 Bn | 3.10 Bn | -32.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Oct 2, 2026 | 4.80 |
| Jul 3, 2026 | 6.69 |
| Mar 31, 2026 | 7.71 |
| Dec 31, 2025 | 6.01 |
| Sep 26, 2025 | 5.46 |
| Jun 27, 2025 | 4.78 |
| Mar 31, 2025 | 3.77 |
| Dec 31, 2024 | 3.68 |
| Sep 27, 2024 | 4.36 |
| Jun 28, 2024 | 5.91 |
| Mar 31, 2024 | 8.20 |
Nextpower 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=NXT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "NXT", "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=NXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();