Yum Brands (YUM) Gains from Sales and Divestitures (2009 - 2026)
Yum Brands (YUM) reported Gains from Sales and Divestitures of $1 million for Q2 2026, down 90.9% from $11 million a year earlier and unchanged from the prior quarter.
Yum Brands (YUM) Gains from Sales and Divestitures (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Yum Brands' Gains from Sales and Divestitures came in at $34 million, up 9.7% year-over-year; for FY2025, it was $48 million, up 41.2% from FY2024.
- Gains from Sales and Divestitures has increased for three consecutive years, with a five-year compound annual growth rate of 7.1% (FY2020 to FY2025).
- By year, Gains from Sales and Divestitures came in at $34 million in FY2024 (+17.2%), $29 million in FY2023 (+7.4%), $27 million in FY2022 (-22.9%) and $35 million in FY2021 (+2.9%).
- Five-year quarterly Gains from Sales and Divestitures spans a low of -$11 million in Q4 2023 and a high of $19 million in Q3 2023.
- Year over year, Gains from Sales and Divestitures gained in two of the last seven quarters, with growth averaging 30.4%.
- The high point for year-over-year Gains from Sales and Divestitures in five years was Q3 2023 (growth of 533.3%); the low point was Q2 2026 (a decline of 90.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1 million (Q1 2026), $15 million (Q4 2025) and $17 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn |
| 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 | 1.00 Mn |
| Mar 31, 2026 | 1.00 Mn |
| Dec 31, 2025 | 15.00 Mn |
| Sep 30, 2025 | 17.00 Mn |
| Jun 30, 2025 | 11.00 Mn |
| Mar 31, 2025 | 5.00 Mn |
| Dec 31, 2024 | 3.00 Mn |
| Sep 30, 2024 | 12.00 Mn |
| Jun 30, 2024 | 14.00 Mn |
| Mar 31, 2024 | 5.00 Mn |
| Dec 31, 2023 | -11.00 Mn |
| Sep 30, 2023 | 19.00 Mn |
| Jun 30, 2023 | 17.00 Mn |
| Mar 31, 2023 | 4.00 Mn |
| Dec 31, 2022 | 12.00 Mn |
| Sep 30, 2022 | 3.00 Mn |
| Jun 30, 2022 | 8.00 Mn |
| Mar 31, 2022 | 4.00 Mn |
| Dec 31, 2021 | 14.00 Mn |
| Sep 30, 2021 | -1.00 Mn |
Yum Brands Gains from Sales and Divestitures 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=gains-from-sales-and-divestitures&ticker=YUM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gains-from-sales-and-divestitures", "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=gains-from-sales-and-divestitures&ticker=YUM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();