Mcdonalds (MCD) Price to Earnings (2009 - 2026)
Mcdonalds' (MCD) quarterly Price to Earnings came in at 80.98 in Q2 2026, down 12.49% on a YoY basis from 92.54 in Q2 2025, and down 27.28% quarter-over-quarter from 111.36 in Q1 2026.
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Mcdonalds (MCD) Price to Earnings (2009 - 2026) Analysis & Trends
Mcdonalds (MCD) has reported Price to Earnings for 18 consecutive years, with 80.98 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to Earnings fell 12.49% year-over-year to 80.98; the trailing twelve-month figure through Jun 2026 stood at 21.77 (down 12.35% YoY), and the FY2025 full-year result was 25.36, up 0.68% from the prior year.
- Price to Earnings eased to 80.98 in Q2 2026 per MCD's latest filing, from 111.36 in the prior quarter.
- Across five years, Price to Earnings topped out at 165.59 in Q1 2022 and bottomed at 80.98 in Q2 2026.
- Historically, Price to Earnings has averaged 105.27 across 5 years, with a median of 100.84 in 2025.
- The sharpest annual moves came in 2022 and 2023: Price to Earnings soared 96.7% in 2022, then slumped 38.45% in 2023.
- Over 5 years, Price to Earnings stood at 101.3 in 2022, then advanced by 3.65% to 105.0 in 2023, then declined by 2.21% to 102.68 in 2024, then dropped by 2.25% to 100.38 in 2025, then retreated by 19.32% to 80.98 in 2026.
- According to Business Quant data, Price to Earnings over the past three periods registered 80.98, 111.36, and 100.38 for Q2 2026, Q1 2026, and Q4 2025 respectively.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 80.98 |
| Mar 31, 2026 | 111.36 |
| Dec 31, 2025 | 100.38 |
| Sep 30, 2025 | 95.00 |
| Jun 30, 2025 | 92.54 |
| Mar 31, 2025 | 119.50 |
| Dec 31, 2024 | 102.68 |
| Sep 30, 2024 | 96.77 |
| Jun 30, 2024 | 90.41 |
| Mar 31, 2024 | 105.28 |
| Dec 31, 2023 | 105.00 |
| Sep 30, 2023 | 82.43 |
| Jun 30, 2023 | 94.10 |
| Mar 31, 2023 | 113.29 |
| Dec 31, 2022 | 101.30 |
| Sep 30, 2022 | 85.28 |
| Jun 30, 2022 | 152.89 |
| Mar 31, 2022 | 165.59 |
| Dec 31, 2021 | 121.63 |
| Sep 30, 2021 | 83.80 |
API Access
Mcdonalds Price to Earnings 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=price-to-earnings&ticker=MCD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=MCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();