Murphy USA (MUSA) Cash & Equivalents (2012 - 2026)
Murphy USA's Cash & Equivalents came in at $175.4 million for Q2 2026, up 224.2% from $54.1 million a year earlier and up 47.9% from the prior quarter.
Murphy USA (MUSA) Cash & Equivalents (2012 - 2026) Analysis & Trends
At the end of FY2025, Murphy USA's Cash & Equivalents was $28.9 million, down 38.5% from FY2024.
- Cash & Equivalents carries a five-year compound annual growth rate of -29.3% (FY2020 to FY2025).
- Going back by year, Cash & Equivalents was $47 million in FY2024 (-60.1%), $117.8 million in FY2023 (+94.7%), $60.5 million in FY2022 (-76.4%) and $256.4 million in FY2021 (+56.7%).
- The Q2 2026 figure represents the highest quarterly Cash & Equivalents since Q3 2022.
- Year-over-year, Cash & Equivalents increased in two of the last eight quarters, with growth averaging 18.0%.
- The fastest year-over-year change in Cash & Equivalents over five years came in Q2 2026 (growth of 224.2%), and the weakest in Q4 2022 (a decline of 76.4%).
- Business Quant data shows MUSA's Cash & Equivalents at $118.6 million (Q1 2026), $28.9 million (Q4 2025) and $42.8 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 951.18 Bn | 913.88 Bn | 49.13 Bn | 11.53 Bn |
| 2 | Costco Wholesale | 444.74 Bn | 368.02 Bn | 12.19 Bn | 20.21 Bn |
| 3 | Kroger | 39.45 Bn | 25.60 Bn | 7.86 Bn | 1.68 Bn |
| 4 | Sysco | 38.98 Bn | 33.23 Bn | 4.13 Bn | 1.79 Bn |
| 5 | Dollar General | 29.28 Bn | 23.95 Bn | 3.68 Bn | 1.59 Bn |
| 6 | Caseys General Stores | 25.84 Bn | 23.84 Bn | 1.24 Bn | 524.06 Mn |
| 7 | Dollar Tree | 23.52 Bn | 20.14 Bn | 2.10 Bn | 1.06 Bn |
| 8 | US Foods Holding | 21.84 Bn | 21.63 Bn | 1.92 Bn | 56.00 Mn |
| 9 | Tractor Supply | 17.44 Bn | 16.61 Bn | 1.68 Bn | 231.59 Mn |
| 10 | Murphy USA | 9.82 Bn | 9.46 Bn | 746.50 Mn | 175.40 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 175.40 Mn |
| Mar 31, 2026 | 118.60 Mn |
| Dec 31, 2025 | 28.90 Mn |
| Sep 30, 2025 | 42.80 Mn |
| Jun 30, 2025 | 54.10 Mn |
| Mar 31, 2025 | 49.40 Mn |
| Dec 31, 2024 | 47.00 Mn |
| Sep 30, 2024 | 52.50 Mn |
| Jun 30, 2024 | 79.80 Mn |
| Mar 31, 2024 | 56.70 Mn |
| Dec 31, 2023 | 117.80 Mn |
| Sep 30, 2023 | 124.80 Mn |
| Jun 30, 2023 | 92.90 Mn |
| Mar 31, 2023 | 102.10 Mn |
| Dec 31, 2022 | 60.50 Mn |
| Sep 30, 2022 | 192.70 Mn |
| Jun 30, 2022 | 240.40 Mn |
| Mar 31, 2022 | 356.20 Mn |
| Dec 31, 2021 | 256.40 Mn |
| Sep 30, 2021 | 301.30 Mn |
Murphy USA Cash & Equivalents 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=cash-and-equivalents&ticker=MUSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=MUSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();