Mcdonalds (MCD) Accumulated Expenses (2009 - 2026)
Mcdonalds' (MCD) quarterly Accumulated Expenses came in at $1.2 billion in Q2 2026, down 17.49% on a YoY basis from $1.5 billion in Q2 2025, and down 4.69% quarter-over-quarter from $1.3 billion in Q1 2026.
Mcdonalds (MCD) Accumulated Expenses (2009 - 2026) Analysis & Trends
Mcdonalds (MCD) has reported Accumulated Expenses for 18 consecutive years, with $1.2 billion the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Accumulated Expenses fell 17.49% year-over-year to $1.2 billion; the trailing twelve-month figure through Jun 2026 stood at $1.2 billion (down 17.49% YoY), and the FY2025 full-year result was $1.5 billion, up 31.8% from the prior year.
- Accumulated Expenses eased to $1.2 billion in Q2 2026 per MCD's latest filing, from $1.3 billion in the prior quarter.
- Across five years, Accumulated Expenses topped out at $1.6 billion in Q1 2022 and bottomed at $1.0 billion in Q2 2022.
- Historically, Accumulated Expenses has averaged $1.3 billion across 5 years, with a median of $1.2 billion in 2022.
- The sharpest annual moves came in 2022 and 2023: Accumulated Expenses surged 56.26% in 2022, then dropped 27.54% in 2023.
- Over 5 years, Accumulated Expenses stood at $1.2 billion in 2022, then grew by 15.89% to $1.4 billion in 2023, then slipped by 21.27% to $1.1 billion in 2024, then soared by 31.8% to $1.5 billion in 2025, then declined by 19.49% to $1.2 billion in 2026.
- According to Business Quant data, Accumulated Expenses over the past three periods registered $1.2 billion, $1.3 billion, and $1.5 billion for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 168.67 Bn | 167.85 Bn | 6.42 Bn |
| 2 | Starbucks | 107.32 Bn | 103.72 Bn | 6.49 Bn |
| 3 | Chipotle Mexican Grill | 41.40 Bn | 40.73 Bn | 2.35 Bn |
| 4 | Yum Brands | 38.39 Bn | 37.72 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 25.02 Bn | 25.51 Bn | 1.89 Bn |
| 6 | Darden Restaurants | 24.39 Bn | 24.17 Bn | 3.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 15.95 Bn | 1.89 Bn |
| 8 | Yum China Holdings | 14.09 Bn | 13.41 Bn | 2.22 Bn |
| 9 | Texas Roadhouse | 10.81 Bn | 10.63 Bn | 1.44 Bn |
| 10 | Dominos Pizza | 9.81 Bn | 9.60 Bn | 478.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.20 Bn |
| Mar 31, 2026 | 1.26 Bn |
| Dec 31, 2025 | 1.49 Bn |
| Sep 30, 2025 | 1.53 Bn |
| Jun 30, 2025 | 1.45 Bn |
| Mar 31, 2025 | 1.19 Bn |
| Dec 31, 2024 | 1.13 Bn |
| Sep 30, 2024 | 1.35 Bn |
| Jun 30, 2024 | 1.14 Bn |
| Mar 31, 2024 | 1.14 Bn |
| Dec 31, 2023 | 1.43 Bn |
| Sep 30, 2023 | 1.35 Bn |
| Jun 30, 2023 | 1.21 Bn |
| Mar 31, 2023 | 1.19 Bn |
| Dec 31, 2022 | 1.24 Bn |
| Sep 30, 2022 | 1.13 Bn |
| Jun 30, 2022 | 1.02 Bn |
| Mar 31, 2022 | 1.64 Bn |
| Dec 31, 2021 | 1.35 Bn |
| Sep 30, 2021 | 1.27 Bn |
Mcdonalds 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=accumulated-expenses&ticker=MCD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=MCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();