Mcdonalds (MCD) Price to FCF (2009 - 2026)
Mcdonalds' (MCD) quarterly Price to FCF came in at 96.8 in Q2 2026, down 41.78% on a YoY basis from 166.26 in Q2 2025, and down 24.16% quarter-over-quarter from 127.64 in Q1 2026.
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Mcdonalds (MCD) Price to FCF (2009 - 2026) Analysis & Trends
Mcdonalds (MCD) has reported Price to FCF for 18 consecutive years, with 96.8 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Price to FCF fell 41.78% year-over-year to 96.8; the trailing twelve-month figure through Jun 2026 stood at 24.65 (down 18.47% YoY), and the FY2025 full-year result was 30.21, down 2.67% from the prior year.
- Price to FCF retreated to 96.8 in Q2 2026 per MCD's latest filing, from 127.64 in the prior quarter.
- Across five years, Price to FCF topped out at 1007.96 in Q2 2022 and bottomed at 77.71 in Q3 2023.
- Historically, Price to FCF has averaged 169.74 across 5 years, with a median of 114.39 in 2022.
- The sharpest annual moves came in 2022 and 2023: Price to FCF soared 630.74% in 2022, then slumped 81.19% in 2023.
- Over 5 years, Price to FCF stood at 115.22 in 2022, then gained by 7.28% to 123.61 in 2023, then slipped by 8.14% to 113.55 in 2024, then advanced by 16.73% to 132.55 in 2025, then fell by 26.97% to 96.8 in 2026.
- According to Business Quant data, Price to FCF over the past three periods registered 96.8, 127.64, and 132.55 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 | 96.80 |
| Mar 31, 2026 | 127.64 |
| Dec 31, 2025 | 132.55 |
| Sep 30, 2025 | 89.54 |
| Jun 30, 2025 | 166.26 |
| Mar 31, 2025 | 119.00 |
| Dec 31, 2024 | 113.55 |
| Sep 30, 2024 | 112.37 |
| Jun 30, 2024 | 172.30 |
| Mar 31, 2024 | 110.25 |
| Dec 31, 2023 | 123.61 |
| Sep 30, 2023 | 77.71 |
| Jun 30, 2023 | 189.60 |
| Mar 31, 2023 | 106.49 |
| Dec 31, 2022 | 115.22 |
| Sep 30, 2022 | 88.82 |
| Jun 30, 2022 | 1,007.96 |
| Mar 31, 2022 | 105.58 |
| Dec 31, 2021 | 100.71 |
| Sep 30, 2021 | 85.13 |
API Access
Mcdonalds Price 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=price-to-fcf&ticker=MCD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-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=price-to-fcf&ticker=MCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();