Power Solutions International (PSIX) EBITDA Margin (2010 - 2026)
Power Solutions International (PSIX) reported EBITDA Margin of 16.78% for Q2 2026, down 0.84 percentage points from 17.62% a year earlier but up 6.61 percentage points from the prior quarter.
Power Solutions International (PSIX) EBITDA Margin (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Power Solutions International's EBITDA Margin came in at 13.91%, down 4.15 percentage points year-over-year; for FY2025, it was 15.93%, down 2.31 percentage points from FY2024.
- EBITDA Margin has a five-year change of +19.17 percentage points (FY2020 to FY2025).
- By year, EBITDA Margin came in at 18.25% in FY2024 (+7.38 pp), 10.87% in FY2023 (+4.37 pp), 6.50% in FY2022 (+13.99 pp) and -7.49% in FY2021 (-4.25 pp).
- Five-year quarterly EBITDA Margin spans a low of -3.27% in Q3 2021 and a high of 24.11% in Q2 2024.
- Year over year, EBITDA Margin has now declined in each of the last five quarters, with an average year-over-year change of -0.81 percentage points over the last eight quarters.
- The high point for year-over-year EBITDA Margin in five years was Q1 2022 (a gain of 15.68 percentage points); the low point was Q1 2026 (a drop of 8.96 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 10.18% (Q1 2026), 13.40% (Q4 2025) and 14.60% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 23.91% |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 33.41% |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 19.50% |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 20.99% |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 27.98% |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 23.02% |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 34.66% |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 20.29% |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 28.95% |
| 10 | Power Solutions International | 1.06 Bn | 854.15 Mn | 41.37 Mn | 16.78% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 16.78% |
| Mar 31, 2026 | 10.18% |
| Dec 31, 2025 | 13.40% |
| Sep 30, 2025 | 14.60% |
| Jun 30, 2025 | 17.62% |
| Mar 31, 2025 | 19.13% |
| Dec 31, 2024 | 18.33% |
| Sep 30, 2024 | 17.28% |
| Jun 30, 2024 | 24.11% |
| Mar 31, 2024 | 12.58% |
| Dec 31, 2023 | 13.08% |
| Sep 30, 2023 | 11.65% |
| Jun 30, 2023 | 10.43% |
| Mar 31, 2023 | 8.56% |
| Dec 31, 2022 | 11.29% |
| Sep 30, 2022 | 7.12% |
| Jun 30, 2022 | 4.12% |
| Mar 31, 2022 | 2.00% |
| Dec 31, 2021 | -2.98% |
| Sep 30, 2021 | -3.27% |
Power Solutions International EBITDA 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=ebitda-margin&ticker=PSIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=PSIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();