Power Solutions International (PSIX) Total Non-Current Liabilities (2010 - 2026)
Power Solutions International's Total Non-Current Liabilities came in at $243.98 million for Q2 2026, down 16.8% from $293.25 million a year earlier but up 2.1% from the prior quarter.
Power Solutions International (PSIX) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Power Solutions International's Total Non-Current Liabilities was $239.61 million, down 4.8% from FY2024.
- Total Non-Current Liabilities has declined in each of the last three years, with a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $251.73 million in FY2024 (-9.3%), $277.43 million in FY2023 (-18.4%), $339.91 million in FY2022 (+5.0%) and $323.6 million in FY2021 (+32.4%).
- The five-year range for quarterly Total Non-Current Liabilities is $238.94 million (Q1 2026) to $342.59 million (Q1 2023).
- Year-over-year, Total Non-Current Liabilities has declined for three consecutive quarters, with an average decline of 5.1% over the last eight quarters.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q4 2021 (growth of 32.4%), and the weakest in Q1 2024 (a decline of 20.1%).
- Business Quant data shows PSIX's Total Non-Current Liabilities at $238.94 million (Q1 2026), $239.61 million (Q4 2025) and $288.68 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Power Solutions International | 1.06 Bn | 854.15 Mn | 41.37 Mn | 243.98 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 243.98 Mn |
| Mar 31, 2026 | 238.94 Mn |
| Dec 31, 2025 | 239.61 Mn |
| Sep 30, 2025 | 288.68 Mn |
| Jun 30, 2025 | 293.25 Mn |
| Mar 31, 2025 | 280.70 Mn |
| Dec 31, 2024 | 251.73 Mn |
| Sep 30, 2024 | 284.74 Mn |
| Jun 30, 2024 | 270.59 Mn |
| Mar 31, 2024 | 273.72 Mn |
| Dec 31, 2023 | 277.43 Mn |
| Sep 30, 2023 | 306.41 Mn |
| Jun 30, 2023 | 325.67 Mn |
| Mar 31, 2023 | 342.59 Mn |
| Dec 31, 2022 | 339.91 Mn |
| Sep 30, 2022 | 331.86 Mn |
| Jun 30, 2022 | 329.84 Mn |
| Mar 31, 2022 | 319.87 Mn |
| Dec 31, 2021 | 323.60 Mn |
| Sep 30, 2021 | 300.71 Mn |
Power Solutions International Total Non-Current 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-non-current-liabilities&ticker=PSIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=PSIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();