Yum Brands (YUM) Selling, General & Administrative (2009 - 2026)
Yum Brands' Selling, General & Administrative was $324 million in Q2 2026, up 7.3% from $302 million a year earlier and up 0.6% from the prior quarter.
Yum Brands (YUM) Selling, General & Administrative (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Yum Brands' Selling, General & Administrative was $1.31 billion through Jun 30, 2026, up 7.1% year-over-year; for FY2025, it was $1.26 billion, up 6.9% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $1.18 billion in FY2024 (-1.0%), $1.19 billion in FY2023 (+4.6%), $1.14 billion in FY2022 (+7.5%) and $1.06 billion in FY2021 (-0.4%).
- Quarterly Selling, General & Administrative has moved between $253 million (Q3 2021) and $377 million (Q4 2025) over five years.
- Compared with a year earlier, Selling, General & Administrative has increased for six straight quarters, with growth averaging 4.9% over the last eight quarters.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q1 2022 (growth of 22.8%); the worst was Q4 2023 (a decline of 5.1%).
- Per Business Quant data, YUM's Selling, General & Administrative in the three quarters before Q2 2026 was $322 million (Q1 2026), $377 million (Q4 2025) and $282 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 817.00 Mn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 598.80 Mn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 324.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 190.47 Mn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 181.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 134.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 181.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 139.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 72.41 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 324.00 Mn |
| Mar 31, 2026 | 322.00 Mn |
| Dec 31, 2025 | 377.00 Mn |
| Sep 30, 2025 | 282.00 Mn |
| Jun 30, 2025 | 302.00 Mn |
| Mar 31, 2025 | 302.00 Mn |
| Dec 31, 2024 | 351.00 Mn |
| Sep 30, 2024 | 263.00 Mn |
| Jun 30, 2024 | 281.00 Mn |
| Mar 31, 2024 | 286.00 Mn |
| Dec 31, 2023 | 353.00 Mn |
| Sep 30, 2023 | 267.00 Mn |
| Jun 30, 2023 | 291.00 Mn |
| Mar 31, 2023 | 282.00 Mn |
| Dec 31, 2022 | 372.00 Mn |
| Sep 30, 2022 | 261.00 Mn |
| Jun 30, 2022 | 254.00 Mn |
| Mar 31, 2022 | 253.00 Mn |
| Dec 31, 2021 | 371.00 Mn |
| Sep 30, 2021 | 253.00 Mn |
Yum Brands Selling, General & Administrative 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=selling-general-and-administrative&ticker=YUM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=YUM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();