Power Solutions International (PSIX) Enterprise Value (2012 - 2026)
Power Solutions International (PSIX) recorded Enterprise Value of $988.31 million in Q3 2026, down 55.4% from $2.21 billion a year earlier but up 19.6% from the prior quarter.
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Analysis
Power Solutions International (PSIX) Enterprise Value (2012 - 2026) Analysis & Trends
On a TTM basis, Power Solutions International's Enterprise Value came in at $831.9 million as of Sep 30, 2026, down 59.6% year-over-year; for FY2025, it was $1.28 billion, up 102.8% from FY2024.
- Annual Enterprise Value has a five-year compound annual growth rate of 87.8% (FY2020 to FY2025).
- Across earlier years, Enterprise Value came in at $629 million in FY2024, $24.33 million in FY2023 (-45.4%), $44.56 million in FY2022 (-28.7%) and $62.52 million in FY2021 (+14.6%).
- Quarterly Enterprise Value has ranged from $19.53 million in Q1 2024 to $2.21 billion in Q3 2025 over the past five years.
- On a year-over-year basis, Enterprise Value rose in three of the last five quarters, with growth averaging 114.6%.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 892.1% in Q3 2024, against a decline of 74.0% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $826.35 million (Q2 2026), $1.36 billion (Q1 2026) and $1.28 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 274.62 Bn | 245.93 Bn | 7.35 Bn |
| 2 | Amphenol | 193.27 Bn | 188.11 Bn | 4.02 Bn |
| 3 | Deere | 181.55 Bn | 190.32 Bn | 4.66 Bn |
| 4 | Eaton | 137.15 Bn | 134.13 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 120.49 Bn | 118.48 Bn | 2.26 Bn |
| 6 | 3M | 94.89 Bn | 77.30 Bn | 2.78 Bn |
| 7 | Emerson Electric | 92.74 Bn | 85.23 Bn | 2.74 Bn |
| 8 | Illinois Tool Works | 81.69 Bn | 78.37 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 77.79 Bn | 66.64 Bn | 1.64 Bn |
| 10 | Power Solutions International | 896.81 Mn | 668.36 Mn | 59.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 988.31 Mn |
| Jun 30, 2026 | 826.35 Mn |
| Mar 31, 2026 | 1.36 Bn |
| Dec 31, 2025 | 1.28 Bn |
| Sep 30, 2025 | 2.21 Bn |
| Jun 30, 2025 | 1.44 Bn |
| Mar 31, 2025 | 531.62 Mn |
| Dec 31, 2024 | 629.00 Mn |
| Sep 30, 2024 | 431.99 Mn |
| Jun 30, 2024 | 117.55 Mn |
| Mar 31, 2024 | 19.53 Mn |
| Dec 31, 2023 | 24.33 Mn |
| Sep 30, 2023 | 43.54 Mn |
| Jun 30, 2023 | 36.49 Mn |
| Mar 31, 2023 | 31.59 Mn |
| Dec 31, 2022 | 44.56 Mn |
| Sep 30, 2022 | 22.54 Mn |
| Jun 30, 2022 | 35.53 Mn |
| Mar 31, 2022 | 69.49 Mn |
| Dec 31, 2021 | 62.52 Mn |
API Access
Power Solutions International Enterprise Value 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=enterprise-value&ticker=PSIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=PSIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();