Murphy USA (MUSA) Property, Plant & Equipment (Net) (2012 - 2026)
Murphy USA (MUSA) reported Property, Plant & Equipment (Net) of $3.04 billion for Q2 2026, up 6.4% from $2.85 billion a year earlier and up 1.9% from the prior quarter.
Murphy USA (MUSA) Property, Plant & Equipment (Net) (2012 - 2026) Analysis & Trends
At the end of FY2025, Murphy USA posted Property, Plant & Equipment (Net) of $2.96 billion, up 5.3% from FY2024.
- Property, Plant & Equipment (Net) has increased for 13 consecutive years, with a five-year compound annual growth rate of 9.7% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $2.81 billion in FY2024 (+9.4%), $2.57 billion in FY2023 (+4.6%), $2.46 billion in FY2022 (+3.4%) and $2.38 billion in FY2021 (+27.4%).
- The Q2 2026 figure ranks as the highest quarterly Property, Plant & Equipment (Net) in data going back to Q4 2012.
- Year over year, Property, Plant & Equipment (Net) has now increased in each of the last 47 quarters, with growth averaging 7.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Property, Plant & Equipment (Net) ran from 2.8% in Q3 2022 to 27.9% in Q3 2021.
- Per Business Quant data, the three quarters before Q2 2026 came in at $2.98 billion (Q1 2026), $2.96 billion (Q4 2025) and $2.92 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 951.18 Bn | 913.88 Bn | 49.13 Bn | 142.48 Bn |
| 2 | Costco Wholesale | 444.74 Bn | 368.02 Bn | 12.19 Bn | 35.63 Bn |
| 3 | Kroger | 39.45 Bn | 25.60 Bn | 7.86 Bn | 25.27 Bn |
| 4 | Sysco | 38.98 Bn | 33.23 Bn | 4.13 Bn | 5.97 Bn |
| 5 | Dollar General | 29.28 Bn | 23.95 Bn | 3.68 Bn | 6.62 Bn |
| 6 | Caseys General Stores | 25.84 Bn | 23.84 Bn | 1.24 Bn | 5.88 Bn |
| 7 | Dollar Tree | 23.52 Bn | 20.14 Bn | 2.10 Bn | 5.10 Bn |
| 8 | US Foods Holding | 21.84 Bn | 21.63 Bn | 1.92 Bn | 2.71 Bn |
| 9 | Tractor Supply | 17.44 Bn | 16.61 Bn | 1.68 Bn | 3.22 Bn |
| 10 | Murphy USA | 9.82 Bn | 9.46 Bn | 746.50 Mn | 3.04 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.04 Bn |
| Mar 31, 2026 | 2.98 Bn |
| Dec 31, 2025 | 2.96 Bn |
| Sep 30, 2025 | 2.92 Bn |
| Jun 30, 2025 | 2.85 Bn |
| Mar 31, 2025 | 2.81 Bn |
| Dec 31, 2024 | 2.81 Bn |
| Sep 30, 2024 | 2.74 Bn |
| Jun 30, 2024 | 2.66 Bn |
| Mar 31, 2024 | 2.59 Bn |
| Dec 31, 2023 | 2.57 Bn |
| Sep 30, 2023 | 2.52 Bn |
| Jun 30, 2023 | 2.50 Bn |
| Mar 31, 2023 | 2.48 Bn |
| Dec 31, 2022 | 2.46 Bn |
| Sep 30, 2022 | 2.44 Bn |
| Jun 30, 2022 | 2.41 Bn |
| Mar 31, 2022 | 2.39 Bn |
| Dec 31, 2021 | 2.38 Bn |
| Sep 30, 2021 | 2.37 Bn |
Murphy USA Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=MUSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=MUSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();