Mcdonalds (MCD) Interest Expenses (2009 - 2026)
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Analysis
Mcdonalds (MCD) Interest Expenses (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.37 Bn | 193.19 Bn | 6.42 Bn | 409.00 Mn |
| 2 | Starbucks | 124.54 Bn | 112.16 Bn | - | 134.60 Mn |
| 3 | Yum Brands | 45.70 Bn | 42.58 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 44.92 Bn | 41.42 Bn | - | - |
| 5 | Restaurant Brands International | 27.31 Bn | 23.10 Bn | 1.40 Bn | - |
| 6 | Darden Restaurants | 26.21 Bn | 25.31 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 125.00 Mn |
| 8 | Yum China Holdings | 17.27 Bn | 10.93 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 12.83 Bn | 12.17 Bn | - | - |
| 10 | Dominos Pizza | 11.25 Bn | 10.50 Bn | 476.38 Mn | 46.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 409.00 Mn |
| Mar 31, 2026 | 400.00 Mn |
| Dec 31, 2025 | 410.00 Mn |
| Sep 30, 2025 | 406.00 Mn |
| Jun 30, 2025 | 390.00 Mn |
| Mar 31, 2025 | 376.00 Mn |
| Dec 31, 2024 | 380.00 Mn |
| Sep 30, 2024 | 381.00 Mn |
| Jun 30, 2024 | 373.00 Mn |
| Mar 31, 2024 | 372.00 Mn |
| Dec 31, 2023 | 360.00 Mn |
| Sep 30, 2023 | 341.00 Mn |
| Jun 30, 2023 | 330.00 Mn |
| Mar 31, 2023 | 330.00 Mn |
| Dec 31, 2022 | 322.90 Mn |
| Sep 30, 2022 | 306.20 Mn |
| Jun 30, 2022 | 290.60 Mn |
| Mar 31, 2022 | 287.30 Mn |
| Dec 31, 2021 | 295.60 Mn |
| Sep 30, 2021 | 293.70 Mn |
API Access
Mcdonalds Interest 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=interest-expenses&ticker=MCD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=MCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();