Power Solutions International (PSIX) Net Margin (2010 - 2026)
Power Solutions International's Net Margin was 11.05% in Q2 2026, down 15.63 percentage points from 26.69% a year earlier but up 5.38 percentage points from the prior quarter.
Power Solutions International (PSIX) Net Margin (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Power Solutions International's Net Margin was 10.04% through Jun 30, 2026, down 8.53 percentage points year-over-year; for FY2025, it was 15.78%, up 1.23 percentage points from FY2024.
- Net Margin has now increased for four consecutive years, with a five-year change of +21.28 percentage points (FY2020 to FY2025).
- In earlier years, Net Margin was 14.56% in FY2024 (+8.82 pp), 5.73% in FY2023 (+3.39 pp), 2.34% in FY2022 (+12.97 pp) and -10.62% in FY2021 (-5.12 pp).
- Quarterly Net Margin has moved between -6.10% (Q3 2021) and 26.69% (Q2 2025) over five years.
- Compared with a year earlier, Net Margin has declined for four straight quarters, with an average year-over-year change of -0.37 percentage points over the last eight quarters.
- The best year-over-year quarter for Net Margin over five years was Q1 2022 (a gain of 15.49 percentage points); the worst was Q2 2026 (a drop of 15.63 percentage points).
- Per Business Quant data, PSIX's Net Margin in the three quarters before Q2 2026 was 5.68% (Q1 2026), 8.41% (Q4 2025) and 13.55% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 17.49% |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 20.20% |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.94% |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 9.62% |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 18.96% |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 15.20% |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 14.73% |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 14.35% |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 18.95% |
| 10 | Power Solutions International | 1.06 Bn | 854.15 Mn | 41.37 Mn | 11.05% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.05% |
| Mar 31, 2026 | 5.68% |
| Dec 31, 2025 | 8.41% |
| Sep 30, 2025 | 13.55% |
| Jun 30, 2025 | 26.69% |
| Mar 31, 2025 | 14.09% |
| Dec 31, 2024 | 16.14% |
| Sep 30, 2024 | 13.78% |
| Jun 30, 2024 | 19.48% |
| Mar 31, 2024 | 7.47% |
| Dec 31, 2023 | 7.99% |
| Sep 30, 2023 | 6.73% |
| Jun 30, 2023 | 5.27% |
| Mar 31, 2023 | 3.20% |
| Dec 31, 2022 | 6.80% |
| Sep 30, 2022 | 2.56% |
| Jun 30, 2022 | 1.13% |
| Mar 31, 2022 | -2.63% |
| Dec 31, 2021 | -5.96% |
| Sep 30, 2021 | -6.10% |
Power Solutions International Net Margin 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-margin&ticker=PSIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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-margin&ticker=PSIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();