Power Solutions International (PSIX) EBITDA (2009 - 2026)
Power Solutions International (PSIX) reported EBITDA of $42.85 million for Q3 2026, up 43.2% from $29.92 million a year earlier and up 66.4% from the prior quarter.
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Analysis
Power Solutions International (PSIX) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Power Solutions International's EBITDA came in at $107.61 million, down 7.7% year-over-year; for FY2025, it came in at $115.75 million, up 32.5% from FY2024.
- EBITDA has increased for three consecutive years.
- By year, EBITDA came in at $87.36 million in FY2024 (+71.1%), $51.06 million in FY2023 (+52.6%), $33.47 million in FY2022 and -$31.35 million in FY2021.
- The Q3 2026 figure ranks as the highest quarterly EBITDA since Q4 2017.
- Year over year, EBITDA gained in five of the last eight quarters, with growth averaging 29.4%.
- The high point for year-over-year EBITDA in five years was Q1 2023 (growth of 270.0%); the low point was Q1 2026 (a decline of 49.3%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $25.75 million (Q2 2026), $13.24 million (Q1 2026) and $25.77 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.62 Bn | 245.93 Bn | 7.35 Bn | 4.83 Bn |
| 2 | Amphenol | 193.27 Bn | 188.11 Bn | 4.02 Bn | 3.37 Bn |
| 3 | Deere | 181.55 Bn | 190.32 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 137.15 Bn | 134.13 Bn | 3.11 Bn | 2.05 Bn |
| 5 | Parker-Hannifin | 120.49 Bn | 118.48 Bn | 2.26 Bn | 1.48 Bn |
| 6 | 3M | 94.89 Bn | 77.30 Bn | 2.78 Bn | 1.89 Bn |
| 7 | Emerson Electric | 92.74 Bn | 85.23 Bn | 2.74 Bn | 1.72 Bn |
| 8 | Illinois Tool Works | 81.69 Bn | 78.37 Bn | 1.91 Bn | 1.28 Bn |
| 9 | Vertiv Holdings | 77.79 Bn | 66.64 Bn | 1.64 Bn | 1.09 Bn |
| 10 | Power Solutions International | 896.81 Mn | 668.36 Mn | 59.94 Mn | 42.85 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 42.85 Mn |
| Jun 30, 2026 | 25.75 Mn |
| Mar 31, 2026 | 13.24 Mn |
| Dec 31, 2025 | 25.77 Mn |
| Sep 30, 2025 | 29.92 Mn |
| Jun 30, 2025 | 33.98 Mn |
| Mar 31, 2025 | 26.08 Mn |
| Dec 31, 2024 | 26.62 Mn |
| Sep 30, 2024 | 21.82 Mn |
| Jun 30, 2024 | 26.69 Mn |
| Mar 31, 2024 | 12.22 Mn |
| Dec 31, 2023 | 13.95 Mn |
| Sep 30, 2023 | 13.74 Mn |
| Jun 30, 2023 | 12.95 Mn |
| Mar 31, 2023 | 10.42 Mn |
| Dec 31, 2022 | 15.92 Mn |
| Sep 30, 2022 | 9.33 Mn |
| Jun 30, 2022 | 5.41 Mn |
| Mar 31, 2022 | 2.82 Mn |
| Dec 31, 2021 | -3.07 Mn |
API Access
Power Solutions International EBITDA 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&ticker=PSIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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&ticker=PSIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();