Mcdonalds (MCD) Selling, General & Administrative (2009 - 2026)
Mcdonalds (MCD) posted Selling, General & Administrative of $817 million for Q2 2026, up 16.7% from $700 million a year earlier and up 7.6% from the prior quarter.
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Analysis
Mcdonalds (MCD) Selling, General & Administrative (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at Mcdonalds was $3.23 billion, up 14.3% year-over-year; for FY2025, it came in at $3.04 billion, up 6.3% from FY2024.
- Annual Selling, General & Administrative shows a three-year compound annual growth rate of 2.0% (FY2022 to FY2025).
- In prior years, Mcdonalds' Selling, General & Administrative was $2.86 billion in FY2024 (+1.5%), $2.82 billion in FY2023 (-1.6%) and $2.86 billion in FY2022.
- Quarterly Selling, General & Administrative has run from a low of $647 million in Q3 2024 to a high of $872 million in Q4 2025 over five years.
- On a year-over-year basis, Selling, General & Administrative has increased in each of the last five quarters, with growth averaging 9.1% over the last six quarters.
- According to Business Quant data, Selling, General & Administrative for the three prior quarters was $759 million (Q1 2026), $872 million (Q4 2025) and $785 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 175.87 Bn | 170.69 Bn | 6.42 Bn | 817.00 Mn |
| 2 | Starbucks | 114.77 Bn | 102.39 Bn | - | 598.80 Mn |
| 3 | Yum Brands | 41.20 Bn | 38.08 Bn | 1.47 Bn | 324.00 Mn |
| 4 | Chipotle Mexican Grill | 35.06 Bn | 31.04 Bn | - | 190.47 Mn |
| 5 | Restaurant Brands International | 26.21 Bn | 21.76 Bn | 1.38 Bn | 181.00 Mn |
| 6 | Darden Restaurants | 24.12 Bn | 23.22 Bn | 1.68 Bn | 134.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 16.93 Bn | 12.49 Bn | 1.38 Bn | 181.00 Mn |
| 8 | Yum China Holdings | 15.48 Bn | 9.13 Bn | 537.00 Mn | 139.00 Mn |
| 9 | Texas Roadhouse | 10.86 Bn | 10.20 Bn | - | 72.41 Mn |
| 10 | Luckin Coffee | 10.49 Bn | 9.58 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 817.00 Mn |
| Mar 31, 2026 | 759.00 Mn |
| Dec 31, 2025 | 872.00 Mn |
| Sep 30, 2025 | 785.00 Mn |
| Jun 30, 2025 | 700.00 Mn |
| Mar 31, 2025 | 682.00 Mn |
| Dec 31, 2024 | 799.00 Mn |
| Sep 30, 2024 | 647.00 Mn |
| Jun 30, 2024 | 691.00 Mn |
| Mar 31, 2024 | 720.00 Mn |
| Dec 31, 2019 | 653.60 Mn |
| Sep 30, 2019 | 543.60 Mn |
| Jun 30, 2019 | 533.10 Mn |
| Mar 31, 2019 | 499.10 Mn |
| Dec 31, 2018 | 609.80 Mn |
| Sep 30, 2018 | 515.20 Mn |
| Jun 30, 2018 | 542.10 Mn |
| Mar 31, 2018 | 533.10 Mn |
| Dec 31, 2017 | 617.60 Mn |
| Sep 30, 2017 | 567.00 Mn |
API Access
Mcdonalds Selling, General & Administrative 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=selling-general-and-administrative&ticker=MCD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "MCD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=MCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();