Power Solutions International (PSIX) Inventory (2010 - 2026)
Power Solutions International (PSIX) recorded Inventory of $127.58 million in Q2 2026, down 14.4% from $148.98 million a year earlier and down 1.3% from the prior quarter.
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Analysis
Power Solutions International (PSIX) Inventory (2010 - 2026) Analysis & Trends
At the end of FY2025, Power Solutions International reported Inventory of $127.36 million, up 35.7% from FY2024.
- Annual Inventory has a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- Across earlier years, Inventory came in at $93.87 million in FY2024 (+10.5%), $84.95 million in FY2023 (-29.5%), $120.56 million in FY2022 (-15.2%) and $142.19 million in FY2021 (+31.4%).
- Quarterly Inventory has ranged from $84.95 million in Q4 2023 to $152.22 million in Q3 2025 over the past five years.
- On a year-over-year basis, Inventory rose in seven of the last eight quarters, with growth averaging 23.7%.
- Peak year-over-year performance for Inventory in the last five years was growth of 59.4% in Q2 2025, against a decline of 32.9% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $129.24 million (Q1 2026), $127.36 million (Q4 2025) and $152.22 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 20.63 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 4.55 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 7.81 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 5.42 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 3.17 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 2.52 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 2.51 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 3.77 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.76 Bn |
| 10 | Power Solutions International | 1.06 Bn | 854.15 Mn | 41.37 Mn | 127.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 127.58 Mn |
| Mar 31, 2026 | 129.24 Mn |
| Dec 31, 2025 | 127.36 Mn |
| Sep 30, 2025 | 152.22 Mn |
| Jun 30, 2025 | 148.98 Mn |
| Mar 31, 2025 | 116.79 Mn |
| Dec 31, 2024 | 93.87 Mn |
| Sep 30, 2024 | 104.89 Mn |
| Jun 30, 2024 | 93.45 Mn |
| Mar 31, 2024 | 88.80 Mn |
| Dec 31, 2023 | 84.95 Mn |
| Sep 30, 2023 | 94.39 Mn |
| Jun 30, 2023 | 113.22 Mn |
| Mar 31, 2023 | 132.27 Mn |
| Dec 31, 2022 | 120.56 Mn |
| Sep 30, 2022 | 127.22 Mn |
| Jun 30, 2022 | 131.13 Mn |
| Mar 31, 2022 | 139.06 Mn |
| Dec 31, 2021 | 142.19 Mn |
| Sep 30, 2021 | 144.81 Mn |
API Access
Power Solutions International Inventory 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=inventory&ticker=PSIX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=PSIX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();