Yum Brands (YUM) EV to FCF (2009 - 2026)
Yum Brands' (YUM) quarterly EV to FCF came in at 105.53 in Q2 2026, down 1.82% on a YoY basis from 107.49 in Q2 2025, and down 14.65% quarter-over-quarter from 123.65 in Q1 2026.
Yum Brands (YUM) EV to FCF (2009 - 2026) Analysis & Trends
Yum Brands (YUM) has reported EV to FCF for 18 consecutive years, with 105.53 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EV to FCF fell 1.82% year-over-year to 105.53; the trailing twelve-month figure through Jun 2026 stood at 25.58 (down 2.64% YoY), and the FY2025 full-year result was 25.08, down 1.97% from the prior year.
- EV to FCF retreated to 105.53 in Q2 2026 per YUM's latest filing, from 123.65 in the prior quarter.
- Across five years, EV to FCF topped out at 157.26 in Q1 2022 and bottomed at 74.72 in Q3 2022.
- Historically, EV to FCF has averaged 111.91 across 5 years, with a median of 107.38 in 2022.
- The sharpest annual moves came in 2022 and 2023: EV to FCF soared 82.9% in 2022, then declined 19.39% in 2023.
- Over 5 years, EV to FCF stood at 107.28 in 2022, then declined by 1.2% to 105.99 in 2023, then dropped by 15.07% to 90.02 in 2024, then retreated by 5.25% to 85.29 in 2025, then grew by 23.74% to 105.53 in 2026.
- According to Business Quant data, EV to FCF over the past three periods registered 105.53, 123.65, and 85.29 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 | 105.53 |
| Mar 31, 2026 | 123.65 |
| Dec 31, 2025 | 85.29 |
| Sep 30, 2025 | 91.67 |
| Jun 30, 2025 | 107.49 |
| Mar 31, 2025 | 129.00 |
| Dec 31, 2024 | 90.02 |
| Sep 30, 2024 | 91.56 |
| Jun 30, 2024 | 125.41 |
| Mar 31, 2024 | 121.56 |
| Dec 31, 2023 | 105.99 |
| Sep 30, 2023 | 81.30 |
| Jun 30, 2023 | 141.87 |
| Mar 31, 2023 | 126.78 |
| Dec 31, 2022 | 107.28 |
| Sep 30, 2022 | 74.72 |
| Jun 30, 2022 | 147.99 |
| Mar 31, 2022 | 157.26 |
| Dec 31, 2021 | 123.11 |
| Sep 30, 2021 | 74.28 |
Yum Brands 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=YUM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "ticker": "YUM", "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=YUM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();