Power Solutions International (PSIX) EBITDA (2010 - 2026)
Power Solutions International (PSIX) reported EBITDA of $25.6 million for Q2 2026, down 24.3% from $33.81 million a year earlier but up 95.7% from the prior quarter.
Powered by 
Analysis
Power Solutions International (PSIX) EBITDA (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Power Solutions International's EBITDA came in at $94.06 million, down 12.9% year-over-year; for FY2025, it came in at $115.1 million, up 32.5% from FY2024.
- EBITDA has increased for three consecutive years.
- By year, EBITDA came in at $86.84 million in FY2024 (+74.1%), $49.88 million in FY2023 (+59.4%), $31.29 million in FY2022 and -$34.16 million in FY2021.
- Five-year quarterly EBITDA spans a low of -$3.85 million in Q3 2021 and a high of $33.81 million in Q2 2025.
- Year over year, EBITDA has now declined in each of the last three quarters, with growth averaging 32.2% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q1 2023 (growth of 403.8%); the low point was Q1 2026 (a decline of 49.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $13.09 million (Q1 2026), $25.62 million (Q4 2025) and $29.75 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Power Solutions International | 1.06 Bn | 854.15 Mn | 41.37 Mn | 25.60 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 25.60 Mn |
| Mar 31, 2026 | 13.09 Mn |
| Dec 31, 2025 | 25.62 Mn |
| Sep 30, 2025 | 29.75 Mn |
| Jun 30, 2025 | 33.81 Mn |
| Mar 31, 2025 | 25.92 Mn |
| Dec 31, 2024 | 26.46 Mn |
| Sep 30, 2024 | 21.75 Mn |
| Jun 30, 2024 | 26.66 Mn |
| Mar 31, 2024 | 11.98 Mn |
| Dec 31, 2023 | 13.70 Mn |
| Sep 30, 2023 | 13.50 Mn |
| Jun 30, 2023 | 12.71 Mn |
| Mar 31, 2023 | 9.97 Mn |
| Dec 31, 2022 | 15.47 Mn |
| Sep 30, 2022 | 8.89 Mn |
| Jun 30, 2022 | 4.96 Mn |
| Mar 31, 2022 | 1.98 Mn |
| Dec 31, 2021 | -3.79 Mn |
| Sep 30, 2021 | -3.85 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();