Power Solutions International (PSIX) Total Liabilities (2010 - 2026)
Power Solutions International (PSIX) posted Total Liabilities of $250.25 million for Q2 2026, down 17.1% from $302.03 million a year earlier but up 2.2% from the prior quarter.
Power Solutions International (PSIX) Total Liabilities (2010 - 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%).
- Quarterly Total Liabilities has run from a low of $244.91 million in Q1 2026 to a high of $354.4 million in Q1 2023 over five years.
- On a year-over-year basis, Total Liabilities has declined in each of the last four quarters, with an average decline of 5.7% 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 Q1 2024, with a decline of 20.0%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $244.91 million (Q1 2026), $246.14 million (Q4 2025) and $296.49 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 83.22 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 29.19 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 35.88 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 15.46 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 11.14 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 21.81 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 31.92 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 13.60 Bn |
| 10 | Power Solutions International | 1.06 Bn | 854.15 Mn | 41.37 Mn | 250.25 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 329.81 Mn |
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_KEY
import 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();