Power Solutions International (PSIX) Interest Expenses (2010 - 2026)
Power Solutions International (PSIX) posted Interest Expenses of $1.57 million for Q2 2026, down 7.6% from $1.7 million a year earlier and down 10.0% from the prior quarter.
Power Solutions International (PSIX) Interest Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Interest Expenses at Power Solutions International was $6.55 million, down 24.3% year-over-year; for FY2025, it came in at $6.7 million, down 41.4% from FY2024.
- Annual Interest Expenses shows a five-year compound annual growth rate of 3.2% (FY2020 to FY2025).
- In prior years, Power Solutions International's Interest Expenses was $11.44 million in FY2024 (-33.0%), $17.07 million in FY2023 (+31.0%), $13.03 million in FY2022 (+78.3%) and $7.31 million in FY2021 (+27.9%).
- The Q2 2026 figure stands as the lowest quarterly Interest Expenses since Q2 2021.
- On a year-over-year basis, Interest Expenses has declined in each of the last 11 quarters, with an average decline of 29.8% over the last eight quarters.
- The strongest year-over-year quarter for Interest Expenses in the past five years was Q3 2022, with growth of 122.7%; the weakest was Q1 2025, with a decline of 47.2%.
- According to Business Quant data, Interest Expenses for the three prior quarters was $1.75 million (Q1 2026), $1.62 million (Q4 2025) and $1.62 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 316.25 Bn | 287.95 Bn | 7.76 Bn | 497.00 Mn |
| 2 | Amphenol | 181.47 Bn | 176.05 Bn | 3.55 Bn | 213.70 Mn |
| 3 | Deere | 172.60 Bn | 140.69 Bn | 4.66 Bn | 661.00 Mn |
| 4 | Eaton | 143.01 Bn | 140.20 Bn | 2.86 Bn | 201.00 Mn |
| 5 | Parker-Hannifin | 111.22 Bn | 109.35 Bn | 2.25 Bn | 95.00 Mn |
| 6 | 3M | 90.15 Bn | 71.59 Bn | 2.78 Bn | - |
| 7 | Emerson Electric | 89.90 Bn | 82.64 Bn | 2.66 Bn | - |
| 8 | Illinois Tool Works | 78.95 Bn | 75.51 Bn | 1.90 Bn | 79.00 Mn |
| 9 | Vertiv Holdings | 74.37 Bn | 65.00 Bn | 1.23 Bn | 17.40 Mn |
| 10 | Power Solutions International | 1.04 Bn | 831.45 Mn | 41.37 Mn | 1.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.57 Mn |
| Mar 31, 2026 | 1.75 Mn |
| Dec 31, 2025 | 1.62 Mn |
| Sep 30, 2025 | 1.62 Mn |
| Jun 30, 2025 | 1.70 Mn |
| Mar 31, 2025 | 1.77 Mn |
| Dec 31, 2024 | 2.35 Mn |
| Sep 30, 2024 | 2.84 Mn |
| Jun 30, 2024 | 2.91 Mn |
| Mar 31, 2024 | 3.35 Mn |
| Dec 31, 2023 | 3.60 Mn |
| Sep 30, 2023 | 4.16 Mn |
| Jun 30, 2023 | 4.65 Mn |
| Mar 31, 2023 | 4.67 Mn |
| Dec 31, 2022 | 4.30 Mn |
| Sep 30, 2022 | 3.62 Mn |
| Jun 30, 2022 | 2.67 Mn |
| Mar 31, 2022 | 2.45 Mn |
| Dec 31, 2021 | 2.05 Mn |
| Sep 30, 2021 | 1.62 Mn |
Power Solutions International Interest Expenses 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=interest-expenses&ticker=PSIX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=PSIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();