Power Solutions International (PSIX) Operating Income (2010 - 2026)
Power Solutions International's Operating Income came in at $23.92 million for Q2 2026, down 26.4% from $32.48 million a year earlier but up 110.0% from the prior quarter.
Power Solutions International (PSIX) Operating Income (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Power Solutions International reported Operating Income of $87.91 million, down 14.4% year-over-year; for FY2025, it came in at $109.71 million, up 34.4% from FY2024.
- Operating Income has increased in each of the last three years.
- Going back by year, Operating Income was $81.64 million in FY2024 (+84.4%), $44.28 million in FY2023 (+80.0%), $24.6 million in FY2022 and -$41.57 million in FY2021.
- The five-year range for quarterly Operating Income is -$5.69 million (Q3 2021) to $32.48 million (Q2 2025).
- Year-over-year, Operating Income has declined for three consecutive quarters, with growth averaging 35.9% over the last eight quarters.
- The fastest year-over-year change in Operating Income over five years came in Q2 2023 (growth of 248.8%), and the weakest in Q1 2026 (a decline of 53.8%).
- Business Quant data shows PSIX's Operating Income at $11.39 million (Q1 2026), $24.24 million (Q4 2025) and $28.36 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.30 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 1.86 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.39 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.37 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 637.90 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.31 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 984.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.15 Bn |
| 10 | Power Solutions International | 1.06 Bn | 854.15 Mn | 41.37 Mn | 23.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.92 Mn |
| Mar 31, 2026 | 11.39 Mn |
| Dec 31, 2025 | 24.24 Mn |
| Sep 30, 2025 | 28.36 Mn |
| Jun 30, 2025 | 32.48 Mn |
| Mar 31, 2025 | 24.63 Mn |
| Dec 31, 2024 | 25.19 Mn |
| Sep 30, 2024 | 20.45 Mn |
| Jun 30, 2024 | 25.34 Mn |
| Mar 31, 2024 | 10.66 Mn |
| Dec 31, 2023 | 12.33 Mn |
| Sep 30, 2023 | 12.11 Mn |
| Jun 30, 2023 | 11.31 Mn |
| Mar 31, 2023 | 8.52 Mn |
| Dec 31, 2022 | 13.91 Mn |
| Sep 30, 2022 | 7.22 Mn |
| Jun 30, 2022 | 3.24 Mn |
| Mar 31, 2022 | 232,000.00 |
| Dec 31, 2021 | -5.65 Mn |
| Sep 30, 2021 | -5.69 Mn |
Power Solutions International Operating Income 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-income&ticker=PSIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=PSIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();