Mcdonalds (MCD) Operating Expenses (2009 - 2026)
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Analysis
Mcdonalds (MCD) Operating Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 3.76 Bn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | 8.42 Bn |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | 1.51 Bn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | 2.84 Bn |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 1.83 Bn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 2.88 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 1.83 Bn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 2.79 Bn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 1.54 Bn |
| 10 | Dominos Pizza | 11.21 Bn | 10.45 Bn | 476.38 Mn | 105.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.76 Bn |
| Mar 31, 2026 | 3.56 Bn |
| Dec 31, 2025 | 3.85 Bn |
| Sep 30, 2025 | 3.72 Bn |
| Jun 30, 2025 | 3.61 Bn |
| Mar 31, 2025 | 3.31 Bn |
| Dec 31, 2024 | 3.52 Bn |
| Sep 30, 2024 | 3.69 Bn |
| Jun 30, 2024 | 3.57 Bn |
| Mar 31, 2024 | 3.43 Bn |
| Dec 31, 2023 | 3.60 Bn |
| Sep 30, 2023 | 3.48 Bn |
| Jun 30, 2023 | 3.39 Bn |
| Mar 31, 2023 | 3.37 Bn |
| Dec 31, 2022 | 3.34 Bn |
| Sep 30, 2022 | 3.11 Bn |
| Jun 30, 2022 | 4.01 Bn |
| Mar 31, 2022 | 3.35 Bn |
| Dec 31, 2021 | 3.61 Bn |
| Sep 30, 2021 | 3.21 Bn |
API Access
Mcdonalds Operating Expenses 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=operating-expenses&ticker=MCD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=MCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();