Mcdonalds (MCD) Selling, General & Administrative (2009 - 2026)
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Analysis
Mcdonalds (MCD) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | 759.00 Mn |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | 517.30 Mn |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | 185.23 Mn |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | 305.00 Mn |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | 183.00 Mn |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | 134.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 183.00 Mn |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | 155.00 Mn |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | 59.28 Mn |
| 10 | Luckin Coffee | 11.80 Bn | 6.89 Bn | 1.64 Bn | 160.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 759.00 Mn |
| 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 |
| Sep 30, 2018 | 515.20 Mn |
| Jun 30, 2018 | 542.10 Mn |
| Mar 31, 2018 | 533.10 Mn |
| Sep 30, 2017 | 567.00 Mn |
| Jun 30, 2017 | 525.40 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();