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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 316.98 Bn | 288.67 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 182.86 Bn | 177.44 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 174.15 Bn | 142.24 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 143.49 Bn | 140.68 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 111.18 Bn | 109.31 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Emerson Electric | 90.76 Bn | 83.49 Bn | 2.66 Bn | 1.69 Bn |
| 7 | 3M | 90.21 Bn | 71.66 Bn | 2.78 Bn | 1.89 Bn |
| 8 | Illinois Tool Works | 79.32 Bn | 75.88 Bn | 1.90 Bn | 1.25 Bn |
| 9 | Vertiv Holdings | 75.24 Bn | 65.86 Bn | 1.23 Bn | 754.30 Mn |
| 10 | Power Solutions International | 1.07 Bn | 868.21 Mn | 41.37 Mn | 25.75 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | -3.38 Mn |
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_KEY
import 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();