Mcdonalds (MCD) EV to FCF (2009 - 2026)
Mcdonalds' (MCD) quarterly EV to FCF came in at 96.39 in Q2 2026, down 41.5% on a YoY basis from 164.77 in Q2 2025, and down 24.08% quarter-over-quarter from 126.96 in Q1 2026.
Mcdonalds (MCD) EV to FCF (2009 - 2026) Analysis & Trends
Mcdonalds (MCD) has reported EV to FCF for 18 consecutive years, with 96.39 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EV to FCF fell 41.5% year-over-year to 96.39; the trailing twelve-month figure through Jun 2026 stood at 24.54 (down 18.08% YoY), and the FY2025 full-year result was 30.11, down 2.5% from the prior year.
- EV to FCF retreated to 96.39 in Q2 2026 per MCD's latest filing, from 126.96 in the prior quarter.
- Across five years, EV to FCF topped out at 997.57 in Q2 2022 and bottomed at 76.29 in Q3 2023.
- Historically, EV to FCF has averaged 168.11 across 5 years, with a median of 113.32 in 2022.
- The sharpest annual moves came in 2022 and 2023: EV to FCF soared 636.22% in 2022, then sank 81.14% in 2023.
- Over 5 years, EV to FCF stood at 113.68 in 2022, then climbed by 6.41% to 120.97 in 2023, then decreased by 6.62% to 112.96 in 2024, then gained by 16.93% to 132.08 in 2025, then decreased by 27.02% to 96.39 in 2026.
- According to Business Quant data, EV to FCF over the past three periods registered 96.39, 126.96, and 132.08 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 | 96.39 |
| Mar 31, 2026 | 126.96 |
| Dec 31, 2025 | 132.08 |
| Sep 30, 2025 | 88.54 |
| Jun 30, 2025 | 164.77 |
| Mar 31, 2025 | 118.34 |
| Dec 31, 2024 | 112.96 |
| Sep 30, 2024 | 111.74 |
| Jun 30, 2024 | 171.55 |
| Mar 31, 2024 | 109.80 |
| Dec 31, 2023 | 120.97 |
| Sep 30, 2023 | 76.29 |
| Jun 30, 2023 | 188.18 |
| Mar 31, 2023 | 104.56 |
| Dec 31, 2022 | 113.68 |
| Sep 30, 2022 | 87.33 |
| Jun 30, 2022 | 997.57 |
| Mar 31, 2022 | 104.23 |
| Dec 31, 2021 | 98.33 |
| Sep 30, 2021 | 83.10 |
Mcdonalds EV to FCF 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-fcf&ticker=MCD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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-fcf&ticker=MCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();