Pepsico (PEP) Long-Term Debt Repayments (2009 - 2026)
Pepsico (PEP) posted Long-Term Debt Repayments of $592 million for Q2 2026, down 40.9% from $1 billion a year earlier and down 63.7% from the prior quarter.
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Analysis
Pepsico (PEP) Long-Term Debt Repayments (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 13, 2026, Long-Term Debt Repayments at Pepsico was $3.76 billion, up 6.0% year-over-year; for FY2025, it came in at $4.08 billion, up 5.0% from FY2024.
- Annual Long-Term Debt Repayments has increased for three consecutive years, with a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- In prior years, Pepsico's Long-Term Debt Repayments was $3.89 billion in FY2024 (+29.3%), $3.01 billion in FY2023 (+22.3%), $2.46 billion in FY2022 (-28.9%) and $3.46 billion in FY2021 (+88.8%).
- The Q2 2026 figure stands as the lowest quarterly Long-Term Debt Repayments since Q3 2024.
- On a year-over-year basis, Long-Term Debt Repayments increased in three of the last seven quarters, with an average decline of 4.8%.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was Q2 2023, with growth of 149.6%; the weakest was Q3 2022, with a decline of 99.9%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 395.83 Bn | 382.30 Bn | 8.42 Bn | 297.00 Mn |
| 2 | Coca Cola Femsa Sab De Cv | 193.51 Bn | 193.51 Bn | 2.06 Bn | - |
| 3 | Pepsico | 175.42 Bn | 133.18 Bn | 13.75 Bn | 107.00 Mn |
| 4 | Monster Beverage | 88.66 Bn | 76.91 Bn | 1.42 Bn | - |
| 5 | Diageo | 52.30 Bn | 32.37 Bn | - | - |
| 6 | Ambev | 50.76 Bn | 36.05 Bn | 2.06 Bn | - |
| 7 | Coca-Cola Europacific Partners | 50.09 Bn | 42.76 Bn | - | - |
| 8 | Keurig Dr Pepper | 46.34 Bn | 42.38 Bn | 3.07 Bn | 784.00 Mn |
| 9 | Constellation Brands | 22.12 Bn | 21.67 Bn | 1.39 Bn | 1.00 Mn |
| 10 | Coca-Cola Consolidated | 13.61 Bn | 11.24 Bn | 778.41 Mn | 125.14 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 5, 2026 | 107.00 Mn |
| Jun 13, 2026 | 592.00 Mn |
| Mar 21, 2026 | 1.63 Bn |
| Dec 27, 2025 | 837.00 Mn |
| Sep 6, 2025 | 702.00 Mn |
| Jun 14, 2025 | 1.00 Bn |
| Mar 22, 2025 | 1.54 Bn |
| Dec 28, 2024 | 1.00 Bn |
| Sep 7, 2024 | 1.00 Mn |
| Jun 15, 2024 | 1.63 Bn |
| Mar 23, 2024 | 1.25 Bn |
| Dec 30, 2023 | 752.00 Mn |
| Sep 9, 2023 | 1.00 Mn |
| Jun 17, 2023 | 1.00 Bn |
| Mar 25, 2023 | 1.25 Bn |
| Dec 31, 2022 | 805.00 Mn |
| Sep 3, 2022 | 1.00 Mn |
| Jun 11, 2022 | 401.00 Mn |
| Mar 19, 2022 | 1.25 Bn |
| Dec 25, 2021 | 1.00 Bn |
API Access
Pepsico 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=PEP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "PEP", "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=PEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();