Yum Brands (YUM) EV to CFO (2009 - 2026)
Yum Brands' (YUM) quarterly EV to CFO came in at 84.72 in Q2 2026, down 6.26% on a YoY basis from 90.37 in Q2 2025, and down 16.42% quarter-over-quarter from 101.36 in Q1 2026.
Yum Brands (YUM) EV to CFO (2009 - 2026) Analysis & Trends
Yum Brands (YUM) has reported EV to CFO for 18 consecutive years, with 84.72 the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, EV to CFO fell 6.26% year-over-year to 84.72; the trailing twelve-month figure through Jun 2026 stood at 20.62 (down 6.18% YoY), and the FY2025 full-year result was 20.45, down 5.71% from the prior year.
- EV to CFO declined to 84.72 in Q2 2026 per YUM's latest filing, from 101.36 in the prior quarter.
- Across five years, EV to CFO topped out at 131.16 in Q1 2022 and bottomed at 64.66 in Q3 2022.
- Historically, EV to CFO has averaged 91.95 across 5 years, with a median of 87.55 in 2025.
- The sharpest annual moves came in 2022 and 2023: EV to CFO jumped 59.35% in 2022, then fell 20.51% in 2023.
- Over 5 years, EV to CFO stood at 78.56 in 2022, then grew by 2.99% to 80.91 in 2023, then retreated by 11.73% to 71.42 in 2024, then decreased by 6.71% to 66.63 in 2025, then advanced by 27.15% to 84.72 in 2026.
- According to Business Quant data, EV to CFO over the past three periods registered 84.72, 101.36, and 66.63 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 | 84.72 |
| Mar 31, 2026 | 101.36 |
| Dec 31, 2025 | 66.63 |
| Sep 30, 2025 | 75.80 |
| Jun 30, 2025 | 90.37 |
| Mar 31, 2025 | 106.33 |
| Dec 31, 2024 | 71.42 |
| Sep 30, 2024 | 81.45 |
| Jun 30, 2024 | 107.08 |
| Mar 31, 2024 | 105.15 |
| Dec 31, 2023 | 80.91 |
| Sep 30, 2023 | 71.59 |
| Jun 30, 2023 | 116.00 |
| Mar 31, 2023 | 104.25 |
| Dec 31, 2022 | 78.56 |
| Sep 30, 2022 | 64.66 |
| Jun 30, 2022 | 117.73 |
| Mar 31, 2022 | 131.16 |
| Dec 31, 2021 | 95.75 |
| Sep 30, 2021 | 66.56 |
Yum Brands 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=YUM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-cfo", "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-cfo&ticker=YUM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();