Pepsico (PEP) Short-Term Debt repayments (2009 - 2026)
Pepsico (PEP) recorded Short-Term Debt repayments of $2.07 billion in Q3 2026, down 29.3% from $2.93 billion a year earlier but up 92.5% from the prior quarter.
Pepsico (PEP) Short-Term Debt repayments (2009 - 2026) Analysis & Trends
On a TTM basis, Pepsico's Short-Term Debt repayments came in at $6.32 billion as of Sep 5, 2026, down 8.1% year-over-year; for FY2025, it was $7.92 billion, up 40.5% from FY2024.
- Annual Short-Term Debt repayments has increased for four straight years, with a five-year compound annual growth rate of 17.4% (FY2020 to FY2025).
- Across earlier years, Short-Term Debt repayments came in at $5.64 billion in FY2024 (+81.6%), $3.11 billion in FY2023 (+59.2%), $1.95 billion in FY2022 (+391.4%) and $397 million in FY2021 (-88.8%).
- Quarterly Short-Term Debt repayments has ranged from $1 million in Q1 2023 to $2.93 billion in Q3 2025 over the past five years.
- On a year-over-year basis, Short-Term Debt repayments rose in four of the last eight quarters, with growth averaging 22.4%.
- Peak year-over-year performance for Short-Term Debt repayments in the last five years was growth of 187.9% in Q2 2026, against a decline of 68.1% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.07 billion (Q2 2026), $676 million (Q1 2026) and $2.5 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 412.98 Bn | 401.46 Bn | 8.45 Bn | - |
| 2 | Diageo | 237.65 Bn | 219.80 Bn | - | - |
| 3 | Coca Cola Femsa Sab De Cv | 195.53 Bn | 195.53 Bn | 2.15 Bn | - |
| 4 | Pepsico | 194.08 Bn | 152.04 Bn | 13.75 Bn | 2.07 Bn |
| 5 | Monster Beverage | 95.50 Bn | 83.75 Bn | 1.42 Bn | - |
| 6 | Coca-Cola Europacific Partners | 52.02 Bn | 45.24 Bn | - | - |
| 7 | Keurig Dr Pepper | 50.06 Bn | 50.30 Bn | 3.07 Bn | - |
| 8 | Ambev | 43.66 Bn | 28.57 Bn | 2.14 Bn | -5.89 Mn |
| 9 | Constellation Brands | 24.61 Bn | 24.16 Bn | 1.39 Bn | - |
| 10 | Brown Forman | 14.09 Bn | 12.77 Bn | 549.00 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 5, 2026 | 2.07 Bn |
| Jun 13, 2026 | 1.07 Bn |
| Mar 21, 2026 | 676.00 Mn |
| Dec 27, 2025 | 2.50 Bn |
| Sep 6, 2025 | 2.93 Bn |
| Jun 14, 2025 | 373.00 Mn |
| Mar 22, 2025 | 2.12 Bn |
| Dec 28, 2024 | 1.46 Bn |
| Sep 7, 2024 | 2.04 Bn |
| Jun 15, 2024 | 507.00 Mn |
| Mar 23, 2024 | 1.63 Bn |
| Dec 30, 2023 | 2.07 Bn |
| Sep 9, 2023 | 1.01 Bn |
| Jun 17, 2023 | 25.00 Mn |
| Mar 25, 2023 | 1.00 Mn |
| Dec 31, 2022 | 19.00 Mn |
| Sep 3, 2022 | 1.93 Bn |
| Jun 12, 2021 | 1.00 Mn |
| Mar 20, 2021 | 396.00 Mn |
| Dec 26, 2020 | 1.75 Bn |
Pepsico Short-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=short-term-debt-repayments&ticker=PEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-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=short-term-debt-repayments&ticker=PEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();