Yum Brands (YUM) Long-Term Debt Repayments (2009 - 2026)
Yum Brands (YUM) recorded Long-Term Debt Repayments of $6 million in Q2 2026, down 14.3% from $7 million a year earlier and down 25.0% from the prior quarter.
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Analysis
Yum Brands (YUM) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
On a TTM basis, Yum Brands' Long-Term Debt Repayments came in at $968 million as of Jun 30, 2026; for FY2025, it came in at $966 million, up 101.7% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of -8.6% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $479 million in FY2024 (+20.7%), $397 million in FY2023 (-43.2%), $699 million in FY2022 (-80.9%) and $3.66 billion in FY2021 (+141.1%).
- The Q2 2026 figure is the lowest quarterly Long-Term Debt Repayments since Q1 2025.
- On a year-over-year basis, Long-Term Debt Repayments rose in two of the last seven quarters, with an average decline of 32.4%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 110.0% in Q4 2022, against a decline of 98.8% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $8 million (Q1 2026), $9 million (Q4 2025) and $945 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 580.00 Mn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | 1.82 Bn |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | 6.00 Mn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | - |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 29.00 Mn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 5.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 29.00 Mn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | - |
| 10 | Dominos Pizza | 11.21 Bn | 10.45 Bn | 476.38 Mn | 2.52 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.00 Mn |
| Mar 31, 2026 | 8.00 Mn |
| Dec 31, 2025 | 9.00 Mn |
| Sep 30, 2025 | 945.00 Mn |
| Jun 30, 2025 | 7.00 Mn |
| Mar 31, 2025 | 5.00 Mn |
| Dec 31, 2024 | 7.00 Mn |
| Sep 30, 2024 | 9.00 Mn |
| Jun 30, 2024 | 453.00 Mn |
| Mar 31, 2024 | 10.00 Mn |
| Dec 31, 2023 | 337.00 Mn |
| Sep 30, 2023 | 20.00 Mn |
| Jun 30, 2023 | 20.00 Mn |
| Mar 31, 2023 | 20.00 Mn |
| Dec 31, 2022 | 21.00 Mn |
| Sep 30, 2022 | 20.00 Mn |
| Jun 30, 2022 | 643.00 Mn |
| Mar 31, 2022 | 15.00 Mn |
| Dec 31, 2021 | 10.00 Mn |
| Sep 30, 2021 | 1.65 Bn |
API Access
Yum Brands Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=YUM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=YUM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();