Pepsico (PEP) Total Liabilities (2009 - 2026)
Pepsico (PEP) reported Total Liabilities of $89.49 billion for Q3 2026, up 2.8% from $87.02 billion a year earlier but down 0.5% from the prior quarter.
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Analysis
Pepsico (PEP) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Pepsico posted Total Liabilities of $86.85 billion, up 6.8% from FY2024.
- Total Liabilities has a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- By year, Total Liabilities came in at $81.3 billion in FY2024 (-0.7%), $81.86 billion in FY2023 (+9.3%), $74.91 billion in FY2022 (-1.7%) and $76.23 billion in FY2021 (-4.0%).
- Five-year quarterly Total Liabilities spans a low of $74.43 billion in Q2 2022 and a high of $89.92 billion in Q2 2026.
- Year over year, Total Liabilities has now increased in each of the last seven quarters, with growth averaging 4.8% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q4 2023 (growth of 9.3%); the low point was Q4 2021 (a decline of 4.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $89.92 billion (Q2 2026), $89.11 billion (Q1 2026) and $86.85 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 415.05 Bn | 401.36 Bn | 8.45 Bn | 68.42 Bn |
| 2 | Coca Cola Femsa Sab De Cv | 195.63 Bn | 195.63 Bn | 2.15 Bn | - |
| 3 | Pepsico | 194.97 Bn | 152.73 Bn | 13.75 Bn | 89.49 Bn |
| 4 | Monster Beverage | 95.69 Bn | 83.94 Bn | 1.42 Bn | 2.02 Bn |
| 5 | Diageo | 54.44 Bn | 34.51 Bn | - | 33.89 Bn |
| 6 | Coca-Cola Europacific Partners | 53.15 Bn | 45.82 Bn | - | 25.89 Bn |
| 7 | Keurig Dr Pepper | 50.27 Bn | 46.32 Bn | 3.07 Bn | 58.39 Bn |
| 8 | Ambev | 43.18 Bn | 27.99 Bn | 2.14 Bn | 9.64 Bn |
| 9 | Constellation Brands | 25.00 Bn | 24.55 Bn | 1.39 Bn | 13.18 Bn |
| 10 | Brown Forman | 14.15 Bn | 12.83 Bn | 549.00 Mn | 3.86 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 5, 2026 | 89.49 Bn |
| Jun 13, 2026 | 89.92 Bn |
| Mar 21, 2026 | 89.11 Bn |
| Dec 27, 2025 | 86.85 Bn |
| Sep 6, 2025 | 87.02 Bn |
| Jun 14, 2025 | 86.79 Bn |
| Mar 22, 2025 | 83.21 Bn |
| Dec 28, 2024 | 81.30 Bn |
| Sep 7, 2024 | 80.91 Bn |
| Jun 15, 2024 | 79.95 Bn |
| Mar 23, 2024 | 80.85 Bn |
| Dec 30, 2023 | 81.86 Bn |
| Sep 9, 2023 | 80.98 Bn |
| Jun 17, 2023 | 78.08 Bn |
| Mar 25, 2023 | 75.87 Bn |
| Dec 31, 2022 | 74.91 Bn |
| Sep 3, 2022 | 75.33 Bn |
| Jun 11, 2022 | 74.43 Bn |
| Mar 19, 2022 | 74.64 Bn |
| Dec 25, 2021 | 76.23 Bn |
API Access
Pepsico Total Liabilities 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=total-liabilities&ticker=PEP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=PEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();