Yum Brands (YUM) Operating Expenses (2009 - 2026)
Yum Brands (YUM) reported Operating Expenses of $1.51 billion for Q2 2026, up 15.5% from $1.31 billion a year earlier and up 7.0% from the prior quarter.
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Analysis
Yum Brands (YUM) Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Yum Brands' Operating Expenses came in at $6.02 billion, up 10.2% year-over-year; for FY2025, it came in at $5.64 billion, up 9.6% from FY2024.
- Operating Expenses has increased for eight consecutive years, with a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- By year, Operating Expenses came in at $5.15 billion in FY2024 (+8.2%), $4.76 billion in FY2023 (+2.2%), $4.66 billion in FY2022 (+4.7%) and $4.45 billion in FY2021 (+7.1%).
- Five-year quarterly Operating Expenses spans a low of $1.04 billion in Q1 2022 and a high of $1.78 billion in Q4 2025.
- Year over year, Operating Expenses has now increased in each of the last nine quarters, with growth averaging 12.6% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2024 (growth of 19.5%); the low point was Q1 2024 (a decline of 3.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.42 billion (Q1 2026), $1.78 billion (Q4 2025) and $1.31 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 3.76 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 8.42 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 1.51 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 2.82 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 1.80 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 2.88 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.80 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 2.79 Bn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 1.54 Bn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.51 Bn |
| Mar 31, 2026 | 1.42 Bn |
| Dec 31, 2025 | 1.78 Bn |
| Sep 30, 2025 | 1.31 Bn |
| Jun 30, 2025 | 1.31 Bn |
| Mar 31, 2025 | 1.24 Bn |
| Dec 31, 2024 | 1.71 Bn |
| Sep 30, 2024 | 1.21 Bn |
| Jun 30, 2024 | 1.16 Bn |
| Mar 31, 2024 | 1.08 Bn |
| Dec 31, 2023 | 1.43 Bn |
| Sep 30, 2023 | 1.10 Bn |
| Jun 30, 2023 | 1.11 Bn |
| Mar 31, 2023 | 1.12 Bn |
| Dec 31, 2022 | 1.44 Bn |
| Sep 30, 2022 | 1.09 Bn |
| Jun 30, 2022 | 1.08 Bn |
| Mar 31, 2022 | 1.04 Bn |
| Dec 31, 2021 | 1.39 Bn |
| Sep 30, 2021 | 1.08 Bn |
API Access
Yum Brands Operating Expenses 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=operating-expenses&ticker=YUM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=YUM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();