Power Solutions International (PSIX) Other Accumulated Expenses (2013 - 2026)
Power Solutions International's Other Accumulated Expenses was $36.25 million in Q2 2026, down 35.6% from $56.31 million a year earlier but up 28.0% from the prior quarter.
Powered by 
Analysis
Power Solutions International (PSIX) Other Accumulated Expenses (2013 - 2026) Analysis & Trends
At the end of FY2025, Other Accumulated Expenses at Power Solutions International came in at $37.35 million, down 16.5% from FY2024.
- Other Accumulated Expenses shows a five-year compound annual growth rate of -13.6% (FY2020 to FY2025).
- In earlier years, Other Accumulated Expenses was $44.73 million in FY2024 (+39.8%), $32 million in FY2023 (-6.2%), $34.11 million in FY2022 (+10.7%) and $30.82 million in FY2021 (-60.3%).
- Quarterly Other Accumulated Expenses has moved between $28.31 million (Q1 2026) and $58.07 million (Q1 2025) over five years.
- Compared with a year earlier, Other Accumulated Expenses has declined for three straight quarters, with growth averaging 14.9% over the last eight quarters.
- The best year-over-year quarter for Other Accumulated Expenses over five years was Q1 2025 (growth of 101.7%); the worst was Q4 2021 (a decline of 60.3%).
- Per Business Quant data, PSIX's Other Accumulated Expenses in the three quarters before Q2 2026 was $28.31 million (Q1 2026), $37.35 million (Q4 2025) and $49.69 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn |
| 10 | Power Solutions International | 1.03 Bn | 828.33 Mn | 41.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.25 Mn |
| Mar 31, 2026 | 28.31 Mn |
| Dec 31, 2025 | 37.35 Mn |
| Sep 30, 2025 | 49.69 Mn |
| Jun 30, 2025 | 56.31 Mn |
| Mar 31, 2025 | 58.07 Mn |
| Dec 31, 2024 | 44.73 Mn |
| Sep 30, 2024 | 43.08 Mn |
| Jun 30, 2024 | 37.66 Mn |
| Mar 31, 2024 | 28.79 Mn |
| Dec 31, 2023 | 32.00 Mn |
| Sep 30, 2023 | 37.04 Mn |
| Jun 30, 2023 | 33.37 Mn |
| Mar 31, 2023 | 35.09 Mn |
| Dec 31, 2022 | 34.11 Mn |
| Sep 30, 2022 | 42.62 Mn |
| Jun 30, 2022 | 38.96 Mn |
| Mar 31, 2022 | 36.50 Mn |
| Dec 31, 2021 | 30.82 Mn |
| Sep 30, 2021 | 50.68 Mn |
API Access
Power Solutions International Other Accumulated 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=other-accumulated-expenses&ticker=PSIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=PSIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();