Power Solutions International (PSIX) Net Income (2010 - 2026)
Power Solutions International (PSIX) reported Net Income of $16.86 million for Q2 2026, down 67.1% from $51.21 million a year earlier but up 131.0% from the prior quarter.
Power Solutions International (PSIX) Net Income (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Power Solutions International's Net Income came in at $67.89 million, down 38.8% year-over-year; for FY2025, it came in at $114.02 million, up 64.6% from FY2024.
- Net Income has increased for three consecutive years.
- By year, Net Income came in at $69.28 million in FY2024 (+163.4%), $26.31 million in FY2023 (+133.4%), $11.27 million in FY2022 and -$48.47 million in FY2021.
- Five-year quarterly Net Income spans a low of -$7.57 million in Q4 2021 and a high of $51.21 million in Q2 2025.
- Year over year, Net Income has now declined in each of the last three quarters, with growth averaging 63.3% over the last eight quarters.
- The high point for year-over-year Net Income in five years was Q2 2023 (growth of 372.5%); the low point was Q2 2026 (a decline of 67.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.3 million (Q1 2026), $16.11 million (Q4 2025) and $27.62 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 3.59 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 1.78 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 1.38 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 823.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.09 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 497.80 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 718.00 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 938.00 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 815.00 Mn |
| 10 | Power Solutions International | 1.06 Bn | 854.15 Mn | 41.37 Mn | 16.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.86 Mn |
| Mar 31, 2026 | 7.30 Mn |
| Dec 31, 2025 | 16.11 Mn |
| Sep 30, 2025 | 27.62 Mn |
| Jun 30, 2025 | 51.21 Mn |
| Mar 31, 2025 | 19.07 Mn |
| Dec 31, 2024 | 23.29 Mn |
| Sep 30, 2024 | 17.34 Mn |
| Jun 30, 2024 | 21.54 Mn |
| Mar 31, 2024 | 7.12 Mn |
| Dec 31, 2023 | 8.37 Mn |
| Sep 30, 2023 | 7.80 Mn |
| Jun 30, 2023 | 6.42 Mn |
| Mar 31, 2023 | 3.72 Mn |
| Dec 31, 2022 | 9.32 Mn |
| Sep 30, 2022 | 3.19 Mn |
| Jun 30, 2022 | 1.36 Mn |
| Mar 31, 2022 | -2.60 Mn |
| Dec 31, 2021 | -7.57 Mn |
| Sep 30, 2021 | -7.18 Mn |
Power Solutions International Net 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=net-income&ticker=PSIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-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=net-income&ticker=PSIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();