Power Solutions International (PSIX) Total Debt (2010 - 2026)
Power Solutions International (PSIX) posted Total Debt of $66.19 million for Q2 2026, down 65.2% from $190.02 million a year earlier and down 31.6% from the prior quarter.
Power Solutions International (PSIX) Total Debt (2010 - 2026) Analysis & Trends
At the end of FY2025, Power Solutions International's Total Debt came in at $95.03 million, down 55.8% from FY2024.
- Annual Total Debt shows a five-year compound annual growth rate of -18.3% (FY2020 to FY2025).
- In prior years, Power Solutions International's Total Debt was $215.04 million in FY2024 (+10.3%), $194.91 million in FY2023 (-42.8%), $340.64 million in FY2022 (+9.8%) and $310.38 million in FY2021 (+19.0%).
- The Q2 2026 figure stands as the lowest quarterly Total Debt since Q1 2020.
- On a year-over-year basis, Total Debt has declined in each of the last four quarters, with an average decline of 25.7% over the last eight quarters.
- The strongest year-over-year quarter for Total Debt in the past five years was Q2 2022, with growth of 160.3%; the weakest was Q2 2026, with a decline of 65.2%.
- According to Business Quant data, Total Debt for the three prior quarters was $96.8 million (Q1 2026), $95.03 million (Q4 2025) and $95.04 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 45.15 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 18.81 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 23.21 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 20.61 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 8.52 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 2.94 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 13.11 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 12.55 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 9.69 Bn |
| 10 | Power Solutions International | 1.06 Bn | 854.15 Mn | 41.37 Mn | 66.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 66.19 Mn |
| Mar 31, 2026 | 96.80 Mn |
| Dec 31, 2025 | 95.03 Mn |
| Sep 30, 2025 | 95.04 Mn |
| Jun 30, 2025 | 190.02 Mn |
| Mar 31, 2025 | 205.02 Mn |
| Dec 31, 2024 | 215.04 Mn |
| Sep 30, 2024 | 235.05 Mn |
| Jun 30, 2024 | 174.88 Mn |
| Mar 31, 2024 | 184.90 Mn |
| Dec 31, 2023 | 194.91 Mn |
| Sep 30, 2023 | 239.95 Mn |
| Jun 30, 2023 | 299.98 Mn |
| Mar 31, 2023 | 340.02 Mn |
| Dec 31, 2022 | 340.64 Mn |
| Sep 30, 2022 | 341.46 Mn |
| Jun 30, 2022 | 340.36 Mn |
| Mar 31, 2022 | 325.59 Mn |
| Dec 31, 2021 | 310.38 Mn |
| Sep 30, 2021 | 286.14 Mn |
Power Solutions International Total Debt 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-debt&ticker=PSIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=PSIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();