Yum Brands (YUM) Cost of Revenue (2009 - 2026)
Yum Brands' Cost of Revenue came in at $700 million for Q2 2026, up 25.0% from $560 million a year earlier and up 3.4% from the prior quarter.
Yum Brands (YUM) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Yum Brands reported Cost of Revenue of $2.78 billion, up 19.3% year-over-year; for FY2025, it was $2.48 billion, up 17.1% from FY2024.
- Cost of Revenue has increased in each of the last six years, with a five-year compound annual growth rate of 10.5% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $2.12 billion in FY2024 (+19.5%), $1.77 billion in FY2023 (+1.7%), $1.75 billion in FY2022 (+1.2%) and $1.73 billion in FY2021 (+14.5%).
- The five-year range for quarterly Cost of Revenue is $400 million (Q1 2024) to $815 million (Q4 2025).
- Year-over-year, Cost of Revenue has increased for nine consecutive quarters, with growth averaging 23.6% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q4 2024 (growth of 35.9%), and the weakest in Q3 2022 (a decline of 4.5%).
- Business Quant data shows YUM's Cost of Revenue at $677 million (Q1 2026), $815 million (Q4 2025) and $587 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.75 Bn | 166.57 Bn | 6.42 Bn | 680.00 Mn |
| 2 | Starbucks | 109.77 Bn | 97.39 Bn | - | - |
| 3 | Yum Brands | 41.45 Bn | 38.34 Bn | 1.47 Bn | 700.00 Mn |
| 4 | Chipotle Mexican Grill | 39.14 Bn | 35.12 Bn | - | - |
| 5 | Restaurant Brands International | 25.78 Bn | 21.34 Bn | 1.38 Bn | 1.14 Bn |
| 6 | Darden Restaurants | 24.33 Bn | 23.43 Bn | 1.68 Bn | 1.52 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.14 Bn |
| 8 | Yum China Holdings | 15.56 Bn | 9.22 Bn | 537.00 Mn | 2.60 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | - |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 700.00 Mn |
| Mar 31, 2026 | 677.00 Mn |
| Dec 31, 2025 | 815.00 Mn |
| Sep 30, 2025 | 587.00 Mn |
| Jun 30, 2025 | 560.00 Mn |
| Mar 31, 2025 | 520.00 Mn |
| Dec 31, 2024 | 727.00 Mn |
| Sep 30, 2024 | 523.00 Mn |
| Jun 30, 2024 | 470.00 Mn |
| Mar 31, 2024 | 400.00 Mn |
| Dec 31, 2023 | 535.00 Mn |
| Sep 30, 2023 | 421.00 Mn |
| Jun 30, 2023 | 415.00 Mn |
| Mar 31, 2023 | 403.00 Mn |
| Dec 31, 2022 | 526.00 Mn |
| Sep 30, 2022 | 402.00 Mn |
| Jun 30, 2022 | 415.00 Mn |
| Mar 31, 2022 | 402.00 Mn |
| Dec 31, 2021 | 495.00 Mn |
| Sep 30, 2021 | 421.00 Mn |
Yum Brands Cost of Revenue 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=cost-of-revenue&ticker=YUM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=YUM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();