Murphy USA (MUSA) Inventory (2012 - 2026)
Murphy USA (MUSA) posted Inventory of $397.8 million for Q3 2026, up 2.7% from $387.2 million a year earlier but down 4.7% from the prior quarter.
Analysis
Murphy USA (MUSA) Inventory (2012 - 2026) Analysis & Trends
At the end of FY2025, Murphy USA's Inventory came in at $413 million, up 2.8% from FY2024.
- Annual Inventory has increased for nine consecutive years, with a five-year compound annual growth rate of 8.2% (FY2020 to FY2025).
- In prior years, Murphy USA's Inventory was $401.6 million in FY2024 (+17.7%), $341.2 million in FY2023 (+6.9%), $319.1 million in FY2022 (+9.2%) and $292.3 million in FY2021 (+4.7%).
- Quarterly Inventory has run from a low of $265.9 million in Q1 2022 to a high of $417.4 million in Q2 2026 over five years.
- On a year-over-year basis, Inventory increased in seven of the last eight quarters, with growth averaging 11.5%.
- The strongest year-over-year quarter for Inventory in the past five years was Q2 2025, with growth of 25.8%; the weakest was Q2 2024, with a decline of 9.7%.
- According to Business Quant data, Inventory for the three prior quarters was $417.4 million (Q2 2026), $363.3 million (Q1 2026) and $413 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 994.65 Bn | 951.08 Bn | 49.13 Bn | 61.60 Bn |
| 2 | Costco Wholesale | 469.67 Bn | 392.95 Bn | 12.19 Bn | 19.32 Bn |
| 3 | Kroger | 40.94 Bn | 27.09 Bn | 7.86 Bn | - |
| 4 | Sysco | 37.29 Bn | 29.21 Bn | 4.05 Bn | - |
| 5 | Dollar General | 29.72 Bn | 24.39 Bn | 3.68 Bn | 6.55 Bn |
| 6 | Dollar Tree | 25.99 Bn | 22.61 Bn | 2.10 Bn | 2.45 Bn |
| 7 | Caseys General Stores | 25.59 Bn | 23.59 Bn | 1.24 Bn | 557.97 Mn |
| 8 | US Foods Holding | 23.41 Bn | 23.21 Bn | 1.90 Bn | 1.73 Bn |
| 9 | Tractor Supply | 19.13 Bn | 18.28 Bn | 1.42 Bn | 3.62 Bn |
| 10 | Murphy USA | 9.38 Bn | 8.87 Bn | 714.10 Mn | 397.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 397.80 Mn |
| Jun 30, 2026 | 417.40 Mn |
| Mar 31, 2026 | 363.30 Mn |
| Dec 31, 2025 | 413.00 Mn |
| Sep 30, 2025 | 387.20 Mn |
| Jun 30, 2025 | 397.50 Mn |
| Mar 31, 2025 | 364.40 Mn |
| Dec 31, 2024 | 401.60 Mn |
| Sep 30, 2024 | 341.20 Mn |
| Jun 30, 2024 | 315.90 Mn |
| Mar 31, 2024 | 292.70 Mn |
| Dec 31, 2023 | 341.20 Mn |
| Sep 30, 2023 | 335.40 Mn |
| Jun 30, 2023 | 349.90 Mn |
| Mar 31, 2023 | 303.60 Mn |
| Dec 31, 2022 | 319.10 Mn |
| Sep 30, 2022 | 280.40 Mn |
| Jun 30, 2022 | 314.00 Mn |
| Mar 31, 2022 | 265.90 Mn |
| Dec 31, 2021 | 292.30 Mn |
API Access
Murphy USA 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=MUSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "ticker": "MUSA", "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=MUSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();