Nextpower (NXT) Operating Expenses (2021 - 2026)
Nextpower (NXT) recorded Operating Expenses of $144.95 million in fiscal Q1 2027 (quarter ended Jul 3, 2026), up 51.8% from $95.5 million a year earlier and up 0.8% from the prior quarter.
Nextpower (NXT) Operating Expenses (2021 - 2026) Analysis & Trends
On a TTM basis, Nextpower's Operating Expenses came in at $512.28 million as of Jul 3, 2026, up 32.1% year-over-year; for FY2026 (ended Mar 31, 2026), it was $462.83 million, up 25.2% from FY2025.
- Annual Operating Expenses has increased for five straight fiscal years, with a five-year compound annual growth rate of 44.5% (FY2021 to FY2026).
- Across earlier fiscal years, Operating Expenses came in at $369.71 million in FY2025 (+63.6%), $225.93 million in FY2024 (+90.7%), $118.49 million in FY2023 (+46.1%) and $81.12 million in FY2022 (+10.4%).
- The fiscal Q1 2027 figure is the highest quarterly Operating Expenses in data going back to fiscal Q3 2022.
- On a year-over-year basis, Operating Expenses has increased for 15 consecutive quarters, with growth averaging 40.4% over the last eight quarters.
- The year-over-year growth in Operating Expenses has ranged between 22.1% (fiscal Q2 2026) and 159.6% (fiscal Q3 2024) over the last five years.
- Per Business Quant, the preceding three fiscal quarters came in at $143.79 million (Q4 2026), $112.03 million (Q3 2026) and $111.52 million (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 252.94 Bn | 214.01 Bn | 2.36 Bn | 1.71 Bn |
| 2 | Bloom Energy | 77.11 Bn | 68.94 Bn | 355.57 Mn | 173.34 Mn |
| 3 | First Solar | 18.59 Bn | 9.54 Bn | 605.00 Mn | 154.62 Mn |
| 4 | BWX Technologies | 12.31 Bn | 10.61 Bn | 202.31 Mn | 811.92 Mn |
| 5 | Generac Holdings | 12.11 Bn | 10.94 Bn | 521.81 Mn | 311.38 Mn |
| 6 | Nextpower | 12.00 Bn | 7.89 Bn | 335.85 Mn | 144.95 Mn |
| 7 | EnerSys | 6.46 Bn | 4.66 Bn | 313.36 Mn | 151.24 Mn |
| 8 | Enphase Energy | 4.08 Bn | -774.96 Mn | 175.01 Mn | 123.50 Mn |
| 9 | Mirion Technologies | 3.51 Bn | 1.40 Bn | 133.10 Mn | 115.20 Mn |
| 10 | Nuscale Power | 3.25 Bn | 3.20 Bn | -152,000.00 | 45.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 3, 2026 | 144.95 Mn |
| Mar 31, 2026 | 143.79 Mn |
| Dec 31, 2025 | 112.03 Mn |
| Sep 26, 2025 | 111.52 Mn |
| Jun 27, 2025 | 95.50 Mn |
| Mar 31, 2025 | 110.38 Mn |
| Dec 31, 2024 | 90.67 Mn |
| Sep 27, 2024 | 91.32 Mn |
| Jun 28, 2024 | 77.35 Mn |
| Mar 31, 2024 | 69.80 Mn |
| Dec 31, 2023 | 61.25 Mn |
| Sep 29, 2023 | 55.02 Mn |
| Jun 30, 2023 | 39.86 Mn |
| Mar 31, 2023 | 49.73 Mn |
| Dec 31, 2022 | 23.60 Mn |
| Sep 30, 2022 | 25.07 Mn |
| Jul 1, 2022 | 20.09 Mn |
| Mar 31, 2022 | 31.38 Mn |
| Dec 31, 2021 | 16.66 Mn |
Nextpower Operating Expenses 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=operating-expenses&ticker=NXT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=NXT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();