Murphy USA (MUSA) Shares Outstanding (Diluted) (2012 - 2026)
Murphy USA (MUSA) reported Shares Outstanding (Diluted) of 18.55 million for Q2 2026, down 6.1% from 19.77 million a year earlier and down 0.8% from the prior quarter.
Murphy USA (MUSA) Shares Outstanding (Diluted) (2012 - 2026) Analysis & Trends
For FY2025, Murphy USA posted Shares Outstanding (Diluted) of 19.53 million, down 6.3% from FY2024.
- Shares Outstanding (Diluted) has declined for 12 consecutive years, with a five-year compound annual growth rate of -7.9% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 20.84 million in FY2024 (-4.6%), 21.84 million in FY2023 (-8.8%), 23.95 million in FY2022 (-10.0%) and 26.6 million in FY2021 (-9.9%).
- The Q2 2026 figure ranks as the lowest quarterly Shares Outstanding (Diluted) in data going back to Q3 2012.
- Year over year, Shares Outstanding (Diluted) has now declined in each of the last 49 quarters, with an average decline of 5.8% over the last eight quarters.
- Across the past five years, year-over-year decline in Shares Outstanding (Diluted) ran from 4.4% in Q1 2024 to 11.7% in Q1 2023.
- Per Business Quant data, the three quarters before Q2 2026 came in at 18.71 million (Q1 2026), 19.53 million (Q4 2025) and 19.23 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Walmart | 955.12 Bn | 911.55 Bn | 49.13 Bn | 7.98 Bn |
| 2 | Costco Wholesale | 448.30 Bn | 371.58 Bn | 12.19 Bn | 444.43 Mn |
| 3 | Kroger | 40.72 Bn | 26.87 Bn | 7.86 Bn | 608.00 Mn |
| 4 | Sysco | 39.28 Bn | 33.53 Bn | 4.13 Bn | 480.61 Mn |
| 5 | Dollar General | 29.41 Bn | 24.09 Bn | 3.68 Bn | 221.51 Mn |
| 6 | Caseys General Stores | 26.05 Bn | 24.05 Bn | 1.24 Bn | 37.14 Mn |
| 7 | Dollar Tree | 23.76 Bn | 20.38 Bn | 2.10 Bn | 190.90 Mn |
| 8 | US Foods Holding | 22.25 Bn | 22.05 Bn | 1.92 Bn | 221.00 Mn |
| 9 | Tractor Supply | 17.66 Bn | 16.83 Bn | 1.68 Bn | 524.62 Mn |
| 10 | Murphy USA | 9.93 Bn | 9.57 Bn | 746.50 Mn | 18.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.55 Mn |
| Mar 31, 2026 | 18.71 Mn |
| Dec 31, 2025 | 19.53 Mn |
| Sep 30, 2025 | 19.23 Mn |
| Jun 30, 2025 | 19.77 Mn |
| Mar 31, 2025 | 20.20 Mn |
| Dec 31, 2024 | 20.84 Mn |
| Sep 30, 2024 | 20.74 Mn |
| Jun 30, 2024 | 20.92 Mn |
| Mar 31, 2024 | 21.16 Mn |
| Dec 31, 2023 | 21.84 Mn |
| Sep 30, 2023 | 21.79 Mn |
| Jun 30, 2023 | 22.05 Mn |
| Mar 31, 2023 | 22.13 Mn |
| Dec 31, 2022 | 23.95 Mn |
| Sep 30, 2022 | 23.65 Mn |
| Jun 30, 2022 | 24.34 Mn |
| Mar 31, 2022 | 25.07 Mn |
| Dec 31, 2021 | 26.60 Mn |
| Sep 30, 2021 | 26.15 Mn |
Murphy USA Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=MUSA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=MUSA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();