Mcdonalds (MCD) EBITDA (2009 - 2026)
Mcdonalds' EBITDA was $3.9 billion in Q2 2026, up 3.4% from $3.78 billion a year earlier and up 10.9% from the prior quarter.
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Analysis
Mcdonalds (MCD) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mcdonalds' EBITDA was $15.07 billion through Jun 30, 2026, up 7.0% year-over-year; for FY2025, it was $14.59 billion, up 5.7% from FY2024.
- EBITDA has now increased for three consecutive years, with a five-year compound annual growth rate of 10.0% (FY2020 to FY2025).
- In earlier years, EBITDA was $13.81 billion in FY2024 (+1.4%), $13.63 billion in FY2023 (+21.2%), $11.24 billion in FY2022 (-8.0%) and $12.22 billion in FY2021 (+34.7%).
- Quarterly EBITDA has moved between $2.17 billion (Q2 2022) and $3.92 billion (Q3 2025) over five years.
- Compared with a year earlier, EBITDA has increased for five straight quarters, with growth averaging 5.1% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q2 2023 (growth of 65.4%); the worst was Q2 2022 (a decline of 31.1%).
- Per Business Quant data, MCD's EBITDA in the three quarters before Q2 2026 was $3.52 billion (Q1 2026), $3.73 billion (Q4 2025) and $3.92 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.37 Bn | 193.19 Bn | 6.42 Bn | 3.90 Bn |
| 2 | Starbucks | 124.54 Bn | 112.16 Bn | - | 1.37 Bn |
| 3 | Yum Brands | 45.70 Bn | 42.58 Bn | 1.47 Bn | 715.00 Mn |
| 4 | Chipotle Mexican Grill | 44.92 Bn | 41.42 Bn | - | 554.58 Mn |
| 5 | Restaurant Brands International | 27.31 Bn | 23.10 Bn | 1.40 Bn | 776.00 Mn |
| 6 | Darden Restaurants | 26.21 Bn | 25.31 Bn | 1.68 Bn | 463.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 776.00 Mn |
| 8 | Yum China Holdings | 17.27 Bn | 10.93 Bn | 537.00 Mn | 468.00 Mn |
| 9 | Texas Roadhouse | 12.83 Bn | 12.17 Bn | - | 201.13 Mn |
| 10 | Dominos Pizza | 11.25 Bn | 10.50 Bn | 476.38 Mn | 263.98 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.90 Bn |
| Mar 31, 2026 | 3.52 Bn |
| Dec 31, 2025 | 3.73 Bn |
| Sep 30, 2025 | 3.92 Bn |
| Jun 30, 2025 | 3.78 Bn |
| Mar 31, 2025 | 3.17 Bn |
| Dec 31, 2024 | 3.42 Bn |
| Sep 30, 2024 | 3.72 Bn |
| Jun 30, 2024 | 3.42 Bn |
| Mar 31, 2024 | 3.25 Bn |
| Dec 31, 2023 | 3.30 Bn |
| Sep 30, 2023 | 3.71 Bn |
| Jun 30, 2023 | 3.60 Bn |
| Mar 31, 2023 | 3.02 Bn |
| Dec 31, 2022 | 3.05 Bn |
| Sep 30, 2022 | 3.23 Bn |
| Jun 30, 2022 | 2.17 Bn |
| Mar 31, 2022 | 2.79 Bn |
| Dec 31, 2021 | 2.88 Bn |
| Sep 30, 2021 | 3.46 Bn |
API Access
Mcdonalds EBITDA 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=ebitda&ticker=MCD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=MCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();