Mcdonalds (MCD) Revenue (2009 - 2026)
Mcdonalds (MCD) recorded Revenue of $7.1 billion in Q2 2026, up 3.7% from $6.84 billion a year earlier and up 8.9% from the prior quarter.
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Analysis
Mcdonalds (MCD) Revenue (2009 - 2026) Analysis & Trends
On a TTM basis, Mcdonalds' Revenue came in at $27.7 billion as of Jun 30, 2026, up 6.3% year-over-year; for FY2025, it was $26.89 billion, up 3.7% from FY2024.
- Annual Revenue has increased for three straight years, with a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $25.92 billion in FY2024 (+1.7%), $25.49 billion in FY2023 (+10.0%), $23.18 billion in FY2022 (-0.2%) and $23.22 billion in FY2021 (+20.9%).
- The Q2 2026 figure is the highest quarterly Revenue since Q2 2014.
- On a year-over-year basis, Revenue has increased for five consecutive quarters, with growth averaging 3.8% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 14.5% in Q3 2021, against a decline of 5.3% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.52 billion (Q1 2026), $7.01 billion (Q4 2025) and $7.08 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 9.32 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 2.17 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 3.35 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 2.52 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.52 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 3.14 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 1.68 Bn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.10 Bn |
| Mar 31, 2026 | 6.52 Bn |
| Dec 31, 2025 | 7.01 Bn |
| Sep 30, 2025 | 7.08 Bn |
| Jun 30, 2025 | 6.84 Bn |
| Mar 31, 2025 | 5.96 Bn |
| Dec 31, 2024 | 6.39 Bn |
| Sep 30, 2024 | 6.87 Bn |
| Jun 30, 2024 | 6.49 Bn |
| Mar 31, 2024 | 6.17 Bn |
| Dec 31, 2023 | 6.41 Bn |
| Sep 30, 2023 | 6.69 Bn |
| Jun 30, 2023 | 6.50 Bn |
| Mar 31, 2023 | 5.90 Bn |
| Dec 31, 2022 | 5.93 Bn |
| Sep 30, 2022 | 5.87 Bn |
| Jun 30, 2022 | 5.72 Bn |
| Mar 31, 2022 | 5.67 Bn |
| Dec 31, 2021 | 6.01 Bn |
| Sep 30, 2021 | 6.20 Bn |
API Access
Mcdonalds Revenue 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=revenue&ticker=MCD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=MCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();