Power Solutions International (PSIX) Receivables (2009 - 2026)
Power Solutions International's Receivables was $102.33 million in Q3 2026, up 1.1% from $101.24 million a year earlier and up 10.4% from the prior quarter.
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Analysis
Power Solutions International (PSIX) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Receivables at Power Solutions International came in at $106.41 million, up 17.7% from FY2024.
- Receivables shows a five-year compound annual growth rate of 12.1% (FY2020 to FY2025).
- In earlier years, Receivables was $90.42 million in FY2024 (+9.6%), $82.53 million in FY2023 (-11.7%), $93.51 million in FY2022 (+43.6%) and $65.11 million in FY2021 (+8.2%).
- Quarterly Receivables has moved between $65.11 million (Q4 2021) and $106.41 million (Q4 2025) over five years.
- Compared with a year earlier, Receivables was higher in six of the last eight quarters, with growth averaging 7.7%.
- The best year-over-year quarter for Receivables over five years was Q3 2022 (growth of 51.7%); the worst was Q1 2024 (a decline of 14.8%).
- Per Business Quant data, PSIX's Receivables in the three quarters before Q3 2026 was $92.69 million (Q2 2026), $85.26 million (Q1 2026) and $106.41 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.62 Bn | 245.93 Bn | 7.35 Bn | 13.44 Bn |
| 2 | Amphenol | 193.27 Bn | 188.11 Bn | 4.02 Bn | 7.78 Bn |
| 3 | Deere | 181.55 Bn | 190.32 Bn | 4.66 Bn | 10.19 Bn |
| 4 | Eaton | 137.15 Bn | 134.13 Bn | 3.11 Bn | 8.31 Bn |
| 5 | Parker-Hannifin | 120.49 Bn | 118.48 Bn | 2.26 Bn | 3.77 Bn |
| 6 | 3M | 94.89 Bn | 77.30 Bn | 2.78 Bn | 4.12 Bn |
| 7 | Emerson Electric | 92.74 Bn | 85.23 Bn | 2.74 Bn | 3.94 Bn |
| 8 | Illinois Tool Works | 81.69 Bn | 78.37 Bn | 1.91 Bn | 3.52 Bn |
| 9 | Vertiv Holdings | 77.79 Bn | 66.64 Bn | 1.64 Bn | 4.38 Bn |
| 10 | Power Solutions International | 896.81 Mn | 668.36 Mn | 59.94 Mn | 102.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 102.33 Mn |
| Jun 30, 2026 | 92.69 Mn |
| Mar 31, 2026 | 85.26 Mn |
| Dec 31, 2025 | 106.41 Mn |
| Sep 30, 2025 | 101.24 Mn |
| Jun 30, 2025 | 103.27 Mn |
| Mar 31, 2025 | 99.00 Mn |
| Dec 31, 2024 | 90.42 Mn |
| Sep 30, 2024 | 97.50 Mn |
| Jun 30, 2024 | 90.97 Mn |
| Mar 31, 2024 | 70.82 Mn |
| Dec 31, 2023 | 82.53 Mn |
| Sep 30, 2023 | 71.42 Mn |
| Jun 30, 2023 | 78.20 Mn |
| Mar 31, 2023 | 83.08 Mn |
| Dec 31, 2022 | 93.51 Mn |
| Sep 30, 2022 | 82.73 Mn |
| Jun 30, 2022 | 86.80 Mn |
| Mar 31, 2022 | 71.25 Mn |
| Dec 31, 2021 | 65.11 Mn |
API Access
Power Solutions International Receivables 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=receivables&ticker=PSIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=PSIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();