Pepsico (PEP) Total Non-Current Liabilities (2009 - 2026)
Pepsico's Total Non-Current Liabilities was $81.29 billion in Q3 2026, up 2.8% from $79.09 billion a year earlier but down 0.6% from the prior quarter.
Pepsico (PEP) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Pepsico came in at $78.89 billion, up 9.2% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $72.24 billion in FY2024 (-1.2%), $73.14 billion in FY2023 (+9.9%), $66.58 billion in FY2022 (-0.7%) and $67.07 billion in FY2021 (-1.4%).
- Quarterly Total Non-Current Liabilities has moved between $65.31 billion (Q2 2022) and $81.77 billion (Q2 2026) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for seven straight quarters, with growth averaging 5.7% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q2 2025 (growth of 9.9%); the worst was Q2 2022 (a decline of 1.5%).
- Per Business Quant data, PEP's Total Non-Current Liabilities in the three quarters before Q3 2026 was $81.77 billion (Q2 2026), $81.1 billion (Q1 2026) and $78.89 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 412.98 Bn | 401.46 Bn | 8.45 Bn | 63.74 Bn |
| 2 | Diageo | 237.65 Bn | 219.80 Bn | - | 23.16 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 | 81.29 Bn |
| 5 | Monster Beverage | 95.50 Bn | 83.75 Bn | 1.42 Bn | 1.87 Bn |
| 6 | Coca-Cola Europacific Partners | 52.02 Bn | 45.24 Bn | - | 16.43 Bn |
| 7 | Keurig Dr Pepper | 50.06 Bn | 50.30 Bn | 3.07 Bn | 384.00 Mn |
| 8 | Ambev | 43.66 Bn | 28.57 Bn | 2.14 Bn | 1.81 Bn |
| 9 | Constellation Brands | 24.61 Bn | 24.16 Bn | 1.39 Bn | - |
| 10 | Brown Forman | 14.09 Bn | 12.77 Bn | 549.00 Mn | 3.67 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 5, 2026 | 81.29 Bn |
| Jun 13, 2026 | 81.77 Bn |
| Mar 21, 2026 | 81.10 Bn |
| Dec 27, 2025 | 78.89 Bn |
| Sep 6, 2025 | 79.09 Bn |
| Jun 14, 2025 | 78.83 Bn |
| Mar 22, 2025 | 74.47 Bn |
| Dec 28, 2024 | 72.24 Bn |
| Sep 7, 2024 | 72.49 Bn |
| Jun 15, 2024 | 71.69 Bn |
| Mar 23, 2024 | 72.03 Bn |
| Dec 30, 2023 | 73.14 Bn |
| Sep 9, 2023 | 72.54 Bn |
| Jun 17, 2023 | 69.74 Bn |
| Mar 25, 2023 | 67.36 Bn |
| Dec 31, 2022 | 66.58 Bn |
| Sep 3, 2022 | 66.51 Bn |
| Jun 11, 2022 | 65.31 Bn |
| Mar 19, 2022 | 65.49 Bn |
| Dec 25, 2021 | 67.07 Bn |
Pepsico Total Non-Current 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-non-current-liabilities&ticker=PEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=PEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();