Mcdonalds (MCD) Other Accumulated Expenses (2009 - 2026)
Mcdonalds (MCD) posted Other Accumulated Expenses of $261 million for Q2 2026, up 6.5% from $245 million a year earlier and up 3.2% from the prior quarter.
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Analysis
Mcdonalds (MCD) Other Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Mcdonalds' Other Accumulated Expenses came in at $247 million, up 10.3% from FY2024.
- Annual Other Accumulated Expenses shows a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- In prior years, Mcdonalds' Other Accumulated Expenses was $224 million in FY2024 (-16.4%), $268 million in FY2023 (+5.1%), $255.1 million in FY2022 (+7.8%) and $236.7 million in FY2021 (+4.3%).
- The Q2 2026 figure stands as the highest quarterly Other Accumulated Expenses since Q3 2024.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last three quarters, with an average decline of 2.4% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q1 2022, with growth of 41.0%; the weakest was Q3 2022, with a decline of 19.7%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $253 million (Q1 2026), $247 million (Q4 2025) and $242 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - |
| 10 | Dominos Pizza | 11.07 Bn | 10.31 Bn | 476.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 261.00 Mn |
| Mar 31, 2026 | 253.00 Mn |
| Dec 31, 2025 | 247.00 Mn |
| Sep 30, 2025 | 242.00 Mn |
| Jun 30, 2025 | 245.00 Mn |
| Mar 31, 2025 | 235.00 Mn |
| Dec 31, 2024 | 224.00 Mn |
| Sep 30, 2024 | 263.00 Mn |
| Jun 30, 2024 | 279.00 Mn |
| Mar 31, 2024 | 279.00 Mn |
| Dec 31, 2023 | 268.00 Mn |
| Sep 30, 2023 | 242.20 Mn |
| Jun 30, 2023 | 245.00 Mn |
| Mar 31, 2023 | 273.00 Mn |
| Dec 31, 2022 | 255.10 Mn |
| Sep 30, 2022 | 203.60 Mn |
| Jun 30, 2022 | 215.90 Mn |
| Mar 31, 2022 | 270.70 Mn |
| Dec 31, 2021 | 236.70 Mn |
| Sep 30, 2021 | 253.50 Mn |
API Access
Mcdonalds Other Accumulated 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=other-accumulated-expenses&ticker=MCD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=MCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();