Power Solutions International (PSIX) Operating Expenses (2010 - 2026)
Power Solutions International (PSIX) posted Operating Expenses of $17.45 million for Q2 2026, down 19.2% from $21.6 million a year earlier and down 3.2% from the prior quarter.
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Analysis
Power Solutions International (PSIX) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Power Solutions International was $73.4 million, up 3.1% year-over-year; for FY2025, it was $75.19 million, up 27.7% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -1.3% (FY2020 to FY2025).
- In prior years, Power Solutions International's Operating Expenses was $58.89 million in FY2024 (-4.4%), $61.59 million in FY2023 (-3.7%), $63.96 million in FY2022 (-22.8%) and $82.84 million in FY2021 (+3.3%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q1 2025.
- On a year-over-year basis, Operating Expenses increased in six of the last eight quarters, with growth averaging 20.5%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2025, with growth of 119.4%; the weakest was Q2 2022, with a decline of 45.8%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $18.03 million (Q1 2026), $17.57 million (Q4 2025) and $20.35 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Power Solutions International | 1.06 Bn | 854.15 Mn | 41.37 Mn | 17.45 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.45 Mn |
| Mar 31, 2026 | 18.03 Mn |
| Dec 31, 2025 | 17.57 Mn |
| Sep 30, 2025 | 20.35 Mn |
| Jun 30, 2025 | 21.60 Mn |
| Mar 31, 2025 | 15.66 Mn |
| Dec 31, 2024 | 17.98 Mn |
| Sep 30, 2024 | 15.97 Mn |
| Jun 30, 2024 | 9.84 Mn |
| Mar 31, 2024 | 15.09 Mn |
| Dec 31, 2023 | 15.20 Mn |
| Sep 30, 2023 | 15.79 Mn |
| Jun 30, 2023 | 15.65 Mn |
| Mar 31, 2023 | 14.95 Mn |
| Dec 31, 2022 | 15.51 Mn |
| Sep 30, 2022 | 16.89 Mn |
| Jun 30, 2022 | 15.08 Mn |
| Mar 31, 2022 | 16.49 Mn |
| Dec 31, 2021 | 15.31 Mn |
| Sep 30, 2021 | 17.03 Mn |
API Access
Power Solutions International 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=PSIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "PSIX", "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=PSIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();