Nextpower (NXT) Price to Book (2024 - 2026)
Nextpower's Price to Book came in at 6.69 for fiscal Q1 2027 (quarter ended Jul 3, 2026), up 40.1% from 4.78 a year earlier but down 13.3% 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 five-year range for quarterly Price to Book is 3.68 (fiscal Q3 2025) to 8.20 (fiscal Q4 2024).
- Year-over-year, Price to Book has increased for four consecutive quarters, with growth averaging 26.7% over the last six quarters.
- Business Quant data shows NXT's Price to Book at 7.71 (Q4 2026), 6.01 (Q3 2026) and 5.46 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | GE Vernova | 252.99 Bn | 214.06 Bn | 2.36 Bn |
| 2 | Bloom Energy | 81.25 Bn | 73.07 Bn | 355.57 Mn |
| 3 | First Solar | 18.82 Bn | 9.78 Bn | 605.00 Mn |
| 4 | BWX Technologies | 12.55 Bn | 10.85 Bn | 202.31 Mn |
| 5 | Generac Holdings | 12.21 Bn | 11.04 Bn | 521.81 Mn |
| 6 | Nextpower | 11.82 Bn | 7.71 Bn | 335.85 Mn |
| 7 | EnerSys | 6.67 Bn | 4.86 Bn | 313.36 Mn |
| 8 | Enphase Energy | 4.36 Bn | -500.13 Mn | 175.01 Mn |
| 9 | Mirion Technologies | 3.45 Bn | 1.34 Bn | 133.10 Mn |
| 10 | Nuscale Power | 3.24 Bn | 3.19 Bn | -152,000.00 |
Historic Data
| Date | Value |
|---|---|
| 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();