Yum Brands (YUM) Other Operating Expenses (2009 - 2026)
Yum Brands' (YUM) quarterly Other Operating Expenses came in at -$6.0 million in Q2 2026, down 154.55% on a YoY basis from $11.0 million in Q2 2025, and down 113.33% quarter-over-quarter from $45.0 million in Q1 2026.
Yum Brands (YUM) Other Operating Expenses (2009 - 2026) Analysis & Trends
Yum Brands (YUM) has reported Other Operating Expenses for 18 consecutive years, with -$6.0 million the latest figure, recorded in Q2 2026.
- For the quarter ending Q2 2026, Other Operating Expenses fell 154.55% year-over-year to -$6.0 million; the trailing twelve-month figure through Jun 2026 stood at $71.0 million (up 108.82% YoY), and the FY2025 full-year result was $48.0 million, up 41.18% from the prior year.
- Other Operating Expenses fell to -$6.0 million in Q2 2026 per YUM's latest filing, from $45.0 million in the prior quarter.
- Across five years, Other Operating Expenses topped out at $45.0 million in Q1 2026 and bottomed at -$11.0 million in Q4 2023.
- Historically, Other Operating Expenses has averaged $8.6 million across 5 years, with a median of $9.5 million in 2022.
- The sharpest annual moves came in 2022 and 2026: Other Operating Expenses plunged 600.0% in 2022, then surged 462.5% in 2026.
- Over 5 years, Other Operating Expenses stood at $12.0 million in 2022, then sank by 191.67% to -$11.0 million in 2023, then jumped by 127.27% to $3.0 million in 2024, then surged by 400.0% to $15.0 million in 2025, then tumbled by 140.0% to -$6.0 million in 2026.
- According to Business Quant data, Other Operating Expenses over the past three periods registered -$6.0 million, $45.0 million, and $15.0 million 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 | -6.00 Mn |
| Mar 31, 2026 | 45.00 Mn |
| Dec 31, 2025 | 15.00 Mn |
| Sep 30, 2025 | 17.00 Mn |
| Jun 30, 2025 | 11.00 Mn |
| Mar 31, 2025 | 8.00 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 | -10.00 Mn |
| Dec 31, 2022 | 12.00 Mn |
| Sep 30, 2022 | -10.00 Mn |
| Jun 30, 2022 | 8.00 Mn |
| Mar 31, 2022 | 6.00 Mn |
| Dec 31, 2021 | 14.00 Mn |
| Sep 30, 2021 | 2.00 Mn |
Yum Brands Other 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=other-operating-expenses&ticker=YUM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=YUM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();