Mcdonalds (MCD) EV to CFO (2009 - 2026)
Mcdonalds' (MCD) quarterly EV to CFO came in at 67.85 in Q2 2026, down 34.39% on a YoY basis from 103.41 in Q2 2025, and down 25.49% quarter-over-quarter from 91.06 in Q1 2026.
Mcdonalds (MCD) EV to CFO (2009 - 2026) Analysis & Trends
Mcdonalds (MCD) has reported EV to CFO for 18 consecutive years, with 67.85 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EV to CFO fell 34.39% year-over-year to 67.85; the trailing twelve-month figure through Jun 2026 stood at 16.79 (down 20.42% YoY), and the FY2025 full-year result was 20.5, down 5.98% from the prior year.
- EV to CFO fell to 67.85 in Q2 2026 per MCD's latest filing, from 91.06 in the prior quarter.
- Across five years, EV to CFO topped out at 290.83 in Q2 2022 and bottomed at 61.93 in Q3 2023.
- Historically, EV to CFO has averaged 96.37 across 5 years, with a median of 84.4 in 2022.
- The sharpest annual moves came in 2022 and 2023: EV to CFO jumped 197.46% in 2022, then plunged 55.64% in 2023.
- Over 5 years, EV to CFO stood at 86.38 in 2022, then retreated by 2.55% to 84.18 in 2023, then retreated by 6.97% to 78.31 in 2024, then rose by 2.44% to 80.22 in 2025, then retreated by 15.41% to 67.85 in 2026.
- According to Business Quant data, EV to CFO over the past three periods registered 67.85, 91.06, and 80.22 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 | 67.85 |
| Mar 31, 2026 | 91.06 |
| Dec 31, 2025 | 80.22 |
| Sep 30, 2025 | 62.43 |
| Jun 30, 2025 | 103.41 |
| Mar 31, 2025 | 91.48 |
| Dec 31, 2024 | 78.31 |
| Sep 30, 2024 | 79.31 |
| Jun 30, 2024 | 107.77 |
| Mar 31, 2024 | 84.67 |
| Dec 31, 2023 | 84.18 |
| Sep 30, 2023 | 61.93 |
| Jun 30, 2023 | 129.02 |
| Mar 31, 2023 | 82.82 |
| Dec 31, 2022 | 86.38 |
| Sep 30, 2022 | 68.27 |
| Jun 30, 2022 | 290.83 |
| Mar 31, 2022 | 84.63 |
| Dec 31, 2021 | 72.99 |
| Sep 30, 2021 | 67.18 |
Mcdonalds EV to CFO 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=ev-to-cfo&ticker=MCD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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=ev-to-cfo&ticker=MCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();