Power Solutions International (PSIX) Revenue (2010 - 2026)
Power Solutions International (PSIX) reported Revenue of $152.54 million for Q2 2026, down 20.5% from $191.91 million a year earlier but up 18.6% from the prior quarter.
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Analysis
Power Solutions International (PSIX) Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Power Solutions International's Revenue came in at $676.19 million, up 13.2% year-over-year; for FY2025, it was $722.41 million, up 51.8% from FY2024.
- Revenue has a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- By year, Revenue came in at $475.97 million in FY2024 (+3.7%), $458.97 million in FY2023 (-4.6%), $481.33 million in FY2022 (+5.5%) and $456.26 million in FY2021 (+9.2%).
- Five-year quarterly Revenue spans a low of $95.24 million in Q1 2024 and a high of $203.83 million in Q3 2025.
- Year over year, Revenue gained in six of the last eight quarters, with growth averaging 28.9%.
- The high point for year-over-year Revenue in five years was Q2 2025 (growth of 73.5%); the low point was Q4 2023 (a decline of 23.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $128.59 million (Q1 2026), $191.22 million (Q4 2025) and $203.83 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 20.54 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 8.76 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 12.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 8.53 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 5.76 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 3.27 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 4.87 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 6.50 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 4.30 Bn |
| 10 | Power Solutions International | 1.06 Bn | 854.15 Mn | 41.37 Mn | 152.54 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 152.54 Mn |
| Mar 31, 2026 | 128.59 Mn |
| Dec 31, 2025 | 191.22 Mn |
| Sep 30, 2025 | 203.83 Mn |
| Jun 30, 2025 | 191.91 Mn |
| Mar 31, 2025 | 135.45 Mn |
| Dec 31, 2024 | 144.30 Mn |
| Sep 30, 2024 | 125.84 Mn |
| Jun 30, 2024 | 110.59 Mn |
| Mar 31, 2024 | 95.24 Mn |
| Dec 31, 2023 | 104.76 Mn |
| Sep 30, 2023 | 115.88 Mn |
| Jun 30, 2023 | 121.87 Mn |
| Mar 31, 2023 | 116.47 Mn |
| Dec 31, 2022 | 137.01 Mn |
| Sep 30, 2022 | 124.90 Mn |
| Jun 30, 2022 | 120.48 Mn |
| Mar 31, 2022 | 98.95 Mn |
| Dec 31, 2021 | 126.98 Mn |
| Sep 30, 2021 | 117.63 Mn |
API Access
Power Solutions International Revenue 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=revenue&ticker=PSIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=PSIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();