Power Solutions International (PSIX) Gross Margin (2010 - 2026)
Power Solutions International (PSIX) posted Gross Margin of 29.66% for Q3 2026, up 5.76 percentage points from 23.90% a year earlier and up 2.54 percentage points from the prior quarter.
Power Solutions International (PSIX) Gross Margin (2010 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Gross Margin at Power Solutions International was 25.58%, down 1.99 percentage points year-over-year; for FY2025, it was 25.59%, down 3.93 percentage points from FY2024.
- Annual Gross Margin shows a five-year change of +11.60 percentage points (FY2020 to FY2025).
- In prior years, Power Solutions International's Gross Margin was 29.53% in FY2024 (+6.46 pp), 23.07% in FY2023 (+4.67 pp), 18.40% in FY2022 (+9.35 pp) and 9.05% in FY2021 (-4.95 pp).
- The Q3 2026 figure stands as the highest quarterly Gross Margin since Q1 2025.
- On a year-over-year basis, Gross Margin increased in three of the last eight quarters, with an average year-over-year change of -1.57 percentage points.
- The strongest year-over-year quarter for Gross Margin in the past five years was Q4 2022, with a gain of 13.86 percentage points; the weakest was Q4 2021, with a drop of 10.28 percentage points.
- According to Business Quant data, Gross Margin for the three prior quarters was 27.12% (Q2 2026), 22.88% (Q1 2026) and 21.87% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.62 Bn | 245.93 Bn | 7.35 Bn | 35.54% |
| 2 | Amphenol | 193.27 Bn | 188.11 Bn | 4.02 Bn | 39.26% |
| 3 | Deere | 181.55 Bn | 190.32 Bn | 4.66 Bn | 36.94% |
| 4 | Eaton | 137.15 Bn | 134.13 Bn | 3.11 Bn | 34.70% |
| 5 | Parker-Hannifin | 120.49 Bn | 118.48 Bn | 2.26 Bn | 37.73% |
| 6 | 3M | 94.89 Bn | 77.30 Bn | 2.78 Bn | 42.27% |
| 7 | Emerson Electric | 92.74 Bn | 85.23 Bn | 2.74 Bn | 52.68% |
| 8 | Illinois Tool Works | 81.69 Bn | 78.37 Bn | 1.91 Bn | 45.09% |
| 9 | Vertiv Holdings | 77.79 Bn | 66.64 Bn | 1.64 Bn | 38.11% |
| 10 | Power Solutions International | 896.81 Mn | 668.36 Mn | 59.94 Mn | 29.66% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 29.66% |
| Jun 30, 2026 | 27.12% |
| Mar 31, 2026 | 22.88% |
| Dec 31, 2025 | 21.87% |
| Sep 30, 2025 | 23.90% |
| Jun 30, 2025 | 28.18% |
| Mar 31, 2025 | 29.75% |
| Dec 31, 2024 | 29.92% |
| Sep 30, 2024 | 28.94% |
| Jun 30, 2024 | 31.82% |
| Mar 31, 2024 | 27.04% |
| Dec 31, 2023 | 26.29% |
| Sep 30, 2023 | 24.08% |
| Jun 30, 2023 | 22.12% |
| Mar 31, 2023 | 20.15% |
| Dec 31, 2022 | 21.47% |
| Sep 30, 2022 | 19.30% |
| Jun 30, 2022 | 15.21% |
| Mar 31, 2022 | 16.90% |
| Dec 31, 2021 | 7.61% |
Power Solutions International Gross 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=gross-margin&ticker=PSIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=PSIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();