Mcdonalds (MCD) EPS (Diluted) (2009 - 2026)
Mcdonalds' EPS (Diluted) was $3.32 in Q2 2026, up 5.8% from $3.14 a year earlier and up 19.5% from the prior quarter.
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Analysis
Mcdonalds (MCD) EPS (Diluted) (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mcdonalds' EPS (Diluted) was $12.36 through Jun 30, 2026, up 5.7% year-over-year; for FY2025, it came in at $11.95, up 4.9% from FY2024.
- EPS (Diluted) shows a five-year compound annual growth rate of 13.6% (FY2020 to FY2025).
- In earlier years, EPS (Diluted) was $11.39 in FY2024 (-1.5%), $11.56 in FY2023 (+38.8%), $8.33 in FY2022 (-17.0%) and $10.04 in FY2021 (+59.1%).
- The Q2 2026 figure marks the highest quarterly EPS (Diluted) in data going back to Q1 2009.
- Compared with a year earlier, EPS (Diluted) has increased for five straight quarters, with growth averaging 3.9% over the last eight quarters.
- The best year-over-year quarter for EPS (Diluted) over five years was Q2 2023 (growth of 96.5%); the worst was Q2 2022 (a decline of 45.7%).
- Per Business Quant data, MCD's EPS (Diluted) in the three quarters before Q2 2026 was $2.78 (Q1 2026), $3.02 (Q4 2025) and $3.18 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 3.32 |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | 0.91 |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | 3.08 |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | 0.27 |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 1.19 |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 2.04 |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 2.10 |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 0.70 |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 1.85 |
| 10 | Dominos Pizza | 11.21 Bn | 10.45 Bn | 476.38 Mn | 4.60 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.32 |
| Mar 31, 2026 | 2.78 |
| Dec 31, 2025 | 3.02 |
| Sep 30, 2025 | 3.18 |
| Jun 30, 2025 | 3.14 |
| Mar 31, 2025 | 2.60 |
| Dec 31, 2024 | 2.79 |
| Sep 30, 2024 | 3.13 |
| Jun 30, 2024 | 2.80 |
| Mar 31, 2024 | 2.66 |
| Dec 31, 2023 | 2.78 |
| Sep 30, 2023 | 3.17 |
| Jun 30, 2023 | 3.15 |
| Mar 31, 2023 | 2.45 |
| Dec 31, 2022 | 2.57 |
| Sep 30, 2022 | 2.68 |
| Jun 30, 2022 | 1.60 |
| Mar 31, 2022 | 1.48 |
| Dec 31, 2021 | 2.18 |
| Sep 30, 2021 | 2.86 |
API Access
Mcdonalds EPS (Diluted) 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=eps-diluted&ticker=MCD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=MCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();