USA Compression Partners (USAC) Change in Inventory (2012 - 2026)
USA Compression Partners' Change in Inventory came in at $36.92 million for Q2 2026, up 210.6% from $11.89 million a year earlier and up 139.9% from the prior quarter.
USA Compression Partners (USAC) Change in Inventory (2012 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, USA Compression Partners reported Change in Inventory of $69.28 million, up 4.9% year-over-year; for FY2025, it came in at $41.09 million, down 59.7% from FY2024.
- Change in Inventory carries a five-year compound annual growth rate of 28.6% (FY2020 to FY2025).
- Going back by year, Change in Inventory was $101.86 million in FY2024 (+32.6%), $76.8 million in FY2023 (+143.1%), $31.59 million in FY2022 (+150.9%) and $12.59 million in FY2021 (+7.8%).
- The Q2 2026 figure represents the highest quarterly Change in Inventory in data going back to Q1 2012.
- Year-over-year, Change in Inventory increased in three of the last eight quarters, with growth averaging 0.5%.
- The fastest year-over-year change in Change in Inventory over five years came in Q4 2022 (growth of 345.2%), and the weakest in Q3 2025 (a decline of 63.7%).
- Business Quant data shows USAC's Change in Inventory at $15.39 million (Q1 2026), $5.71 million (Q4 2025) and $11.26 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | 138.00 Mn |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | 131.00 Mn |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | 19.30 Mn |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | 44.00 Mn |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | 79.00 Mn |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | - |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | - |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | - |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | - |
| 10 | USA Compression Partners | 3.60 Bn | 3.57 Bn | 217.36 Mn | 36.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.92 Mn |
| Mar 31, 2026 | 15.39 Mn |
| Dec 31, 2025 | 5.71 Mn |
| Sep 30, 2025 | 11.26 Mn |
| Jun 30, 2025 | 11.89 Mn |
| Mar 31, 2025 | 12.24 Mn |
| Dec 31, 2024 | 10.94 Mn |
| Sep 30, 2024 | 30.97 Mn |
| Jun 30, 2024 | 28.96 Mn |
| Mar 31, 2024 | 30.98 Mn |
| Dec 31, 2023 | 24.92 Mn |
| Sep 30, 2023 | 20.06 Mn |
| Jun 30, 2023 | 18.49 Mn |
| Mar 31, 2023 | 13.33 Mn |
| Dec 31, 2022 | 10.89 Mn |
| Sep 30, 2022 | 9.55 Mn |
| Jun 30, 2022 | 6.00 Mn |
| Mar 31, 2022 | 5.16 Mn |
| Dec 31, 2021 | 2.45 Mn |
| Sep 30, 2021 | 3.66 Mn |
USA Compression Partners Change in 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=change-in-inventory&ticker=USAC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "ticker": "USAC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-inventory&ticker=USAC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();