Mcdonalds (MCD) Interest Expenses (2009 - 2026)
Mcdonalds (MCD) reported Interest Expenses of $409 million for Q2 2026, up 4.9% from $390 million a year earlier and up 2.3% from the prior quarter.
Mcdonalds (MCD) Interest Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mcdonalds' Interest Expenses came in at $1.63 billion, up 6.4% year-over-year; for FY2025, it was $1.58 billion, up 5.0% from FY2024.
- Interest Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 5.4% (FY2020 to FY2025).
- By year, Interest Expenses came in at $1.51 billion in FY2024 (+10.7%), $1.36 billion in FY2023 (+12.8%), $1.21 billion in FY2022 (+1.8%) and $1.19 billion in FY2021 (-2.7%).
- Five-year quarterly Interest Expenses spans a low of $287.3 million in Q1 2022 and a high of $410 million in Q4 2025.
- Year over year, Interest Expenses has now increased in each of the last 16 quarters, with growth averaging 6.1% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was Q1 2023 (growth of 14.9%); the low point was Q3 2021 (a decline of 5.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $400 million (Q1 2026), $410 million (Q4 2025) and $406 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.89 Bn | 166.71 Bn | 6.42 Bn | 409.00 Mn |
| 2 | Starbucks | 109.83 Bn | 97.45 Bn | - | 134.60 Mn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 39.16 Bn | 35.14 Bn | - | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.36 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 124.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | - |
| 10 | Luckin Coffee | 10.72 Bn | 9.80 Bn | - | - |
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 |
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_KEY
import 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();