Pioneer Power Solutions (PPSI) Operating Expenses (2010 - 2026)
Pioneer Power Solutions' Operating Expenses came in at $2.6 million for Q1 2026, up 4.3% from $2.49 million a year earlier and up 7.7% from the prior quarter.
Pioneer Power Solutions (PPSI) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Pioneer Power Solutions reported Operating Expenses of $10.13 million, down 7.9% year-over-year; for FY2025, it came in at $10.02 million, down 6.9% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 14.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $10.76 million in FY2024 (+16.2%), $9.26 million in FY2023 (+7.2%), $8.64 million in FY2022 (+64.3%) and $5.26 million in FY2021 (+1.7%).
- The five-year range for quarterly Operating Expenses is $1.23 million (Q3 2021) to $3.89 million (Q4 2024).
- Year-over-year, Operating Expenses increased in four of the last eight quarters, with growth averaging 20.6%.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2024 (growth of 209.6%), and the weakest in Q4 2025 (a decline of 37.9%).
- Business Quant data shows PPSI's Operating Expenses at $2.42 million (Q4 2025), $2.09 million (Q3 2025) and $3.02 million (Q2 2025) in the three quarters before Q1 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | GE Vernova | 238.25 Bn | 198.17 Bn | 2.36 Bn | 1.71 Bn |
| 2 | Bloom Energy | 64.00 Bn | 55.79 Bn | 355.57 Mn | 173.34 Mn |
| 3 | First Solar | 18.75 Bn | 9.70 Bn | 605.00 Mn | 154.62 Mn |
| 4 | BWX Technologies | 12.32 Bn | 10.62 Bn | 202.31 Mn | 811.92 Mn |
| 5 | Nextpower | 11.91 Bn | 7.80 Bn | 335.85 Mn | 144.95 Mn |
| 6 | Generac Holdings | 11.42 Bn | 10.25 Bn | 521.81 Mn | 311.38 Mn |
| 7 | EnerSys | 6.22 Bn | 4.41 Bn | 313.36 Mn | 151.24 Mn |
| 8 | Enphase Energy | 4.25 Bn | -607.94 Mn | 175.01 Mn | 123.50 Mn |
| 9 | Mirion Technologies | 3.72 Bn | 1.56 Bn | 133.10 Mn | 115.20 Mn |
| 10 | Pioneer Power Solutions | 31.07 Mn | -25.48 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 2.60 Mn |
| Dec 31, 2025 | 2.42 Mn |
| Sep 30, 2025 | 2.09 Mn |
| Jun 30, 2025 | 3.02 Mn |
| Mar 31, 2025 | 2.49 Mn |
| Dec 31, 2024 | 3.89 Mn |
| Sep 30, 2024 | 2.24 Mn |
| Jun 30, 2024 | 2.38 Mn |
| Mar 31, 2024 | 2.26 Mn |
| Dec 31, 2023 | 1.26 Mn |
| Sep 30, 2023 | 2.76 Mn |
| Jun 30, 2023 | 3.09 Mn |
| Mar 31, 2023 | 2.16 Mn |
| Dec 31, 2022 | 2.00 Mn |
| Sep 30, 2022 | 2.31 Mn |
| Jun 30, 2022 | 2.59 Mn |
| Mar 31, 2022 | 1.75 Mn |
| Dec 31, 2021 | 1.52 Mn |
| Sep 30, 2021 | 1.23 Mn |
| Jun 30, 2021 | 1.24 Mn |
Pioneer Power Solutions 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=PPSI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PPSI", "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=PPSI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();