Power Solutions International (PSIX) Total Liabilities (2009 - 2026)
Power Solutions International (PSIX) posted Total Liabilities of $224.47 million for Q3 2026, down 24.3% from $296.49 million a year earlier and down 10.3% from the prior quarter.
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Analysis
Power Solutions International (PSIX) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Power Solutions International's Total Liabilities came in at $246.14 million, down 6.4% from FY2024.
- Annual Total Liabilities has declined for three consecutive years, with a five-year compound annual growth rate of -2.4% (FY2020 to FY2025).
- In prior years, Power Solutions International's Total Liabilities was $262.93 million in FY2024 (-8.8%), $288.22 million in FY2023 (-17.7%), $350.29 million in FY2022 (+2.3%) and $342.56 million in FY2021 (+23.3%).
- The Q3 2026 figure stands as the lowest quarterly Total Liabilities since Q4 2017.
- On a year-over-year basis, Total Liabilities has declined in each of the last five quarters, with an average decline of 7.9% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q4 2021, with growth of 23.3%; the weakest was Q3 2026, with a decline of 24.3%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $250.25 million (Q2 2026), $244.91 million (Q1 2026) and $246.14 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.62 Bn | 245.93 Bn | 7.35 Bn | 85.36 Bn |
| 2 | Amphenol | 193.27 Bn | 188.11 Bn | 4.02 Bn | 29.76 Bn |
| 3 | Deere | 181.55 Bn | 190.32 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 137.15 Bn | 134.13 Bn | 3.11 Bn | 36.43 Bn |
| 5 | Parker-Hannifin | 120.49 Bn | 118.48 Bn | 2.26 Bn | 25.86 Bn |
| 6 | 3M | 94.89 Bn | 77.30 Bn | 2.78 Bn | 35.36 Bn |
| 7 | Emerson Electric | 92.74 Bn | 85.23 Bn | 2.74 Bn | 21.06 Bn |
| 8 | Illinois Tool Works | 81.69 Bn | 78.37 Bn | 1.91 Bn | 13.36 Bn |
| 9 | Vertiv Holdings | 77.79 Bn | 66.64 Bn | 1.64 Bn | 12.67 Bn |
| 10 | Power Solutions International | 896.81 Mn | 668.36 Mn | 59.94 Mn | 224.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 224.47 Mn |
| Jun 30, 2026 | 250.25 Mn |
| Mar 31, 2026 | 244.91 Mn |
| Dec 31, 2025 | 246.14 Mn |
| Sep 30, 2025 | 296.49 Mn |
| Jun 30, 2025 | 302.03 Mn |
| Mar 31, 2025 | 288.39 Mn |
| Dec 31, 2024 | 262.93 Mn |
| Sep 30, 2024 | 297.03 Mn |
| Jun 30, 2024 | 282.80 Mn |
| Mar 31, 2024 | 283.58 Mn |
| Dec 31, 2023 | 288.22 Mn |
| Sep 30, 2023 | 317.79 Mn |
| Jun 30, 2023 | 337.71 Mn |
| Mar 31, 2023 | 354.40 Mn |
| Dec 31, 2022 | 350.29 Mn |
| Sep 30, 2022 | 351.34 Mn |
| Jun 30, 2022 | 350.06 Mn |
| Mar 31, 2022 | 343.39 Mn |
| Dec 31, 2021 | 342.56 Mn |
API Access
Power Solutions International Total Liabilities 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=total-liabilities&ticker=PSIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PSIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();