Pepsico (PEP) Cost of Revenue (2009 - 2026)
Pepsico (PEP) posted Cost of Revenue of $11.52 billion for Q3 2026, up 3.7% from $11.11 billion a year earlier and up 4.1% from the prior quarter.
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Analysis
Pepsico (PEP) Cost of Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Sep 5, 2026, Cost of Revenue at Pepsico was $45.03 billion, up 5.9% year-over-year; for FY2025, it was $43.07 billion, up 3.2% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 6.3% (FY2020 to FY2025).
- In prior years, Pepsico's Cost of Revenue was $41.74 billion in FY2024 (-0.3%), $41.88 billion in FY2023 (+3.2%), $40.58 billion in FY2022 (+9.4%) and $37.08 billion in FY2021 (+16.6%).
- Quarterly Cost of Revenue has run from a low of $7.43 billion in Q1 2022 to a high of $13.72 billion in Q4 2025 over five years.
- On a year-over-year basis, Cost of Revenue has increased in each of the last six quarters, with growth averaging 4.1% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q4 2021, with growth of 16.3%; the weakest was Q1 2025, with a decline of 3.9%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $11.07 billion (Q2 2026), $8.71 billion (Q1 2026) and $13.72 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 411.73 Bn | 398.05 Bn | 8.45 Bn | 4.93 Bn |
| 2 | Diageo | 221.87 Bn | 201.94 Bn | - | - |
| 3 | Pepsico | 192.76 Bn | 150.52 Bn | 13.75 Bn | 11.52 Bn |
| 4 | Coca Cola Femsa Sab De Cv | 192.22 Bn | 192.22 Bn | 2.15 Bn | 2.47 Bn |
| 5 | Monster Beverage | 89.55 Bn | 77.80 Bn | 1.42 Bn | 1.12 Bn |
| 6 | Coca-Cola Europacific Partners | 53.01 Bn | 45.68 Bn | - | - |
| 7 | Keurig Dr Pepper | 49.85 Bn | 45.89 Bn | 3.07 Bn | 4.24 Bn |
| 8 | Ambev | 43.57 Bn | 28.38 Bn | 2.14 Bn | 2.06 Bn |
| 9 | Constellation Brands | 24.18 Bn | 23.73 Bn | 1.39 Bn | 1.24 Bn |
| 10 | Brown Forman | 14.04 Bn | 12.73 Bn | 549.00 Mn | 362.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 5, 2026 | 11.52 Bn |
| Jun 13, 2026 | 11.07 Bn |
| Mar 21, 2026 | 8.71 Bn |
| Dec 27, 2025 | 13.72 Bn |
| Sep 6, 2025 | 11.11 Bn |
| Jun 14, 2025 | 10.30 Bn |
| Mar 22, 2025 | 7.93 Bn |
| Dec 28, 2024 | 13.18 Bn |
| Sep 7, 2024 | 10.40 Bn |
| Jun 15, 2024 | 9.92 Bn |
| Mar 23, 2024 | 8.25 Bn |
| Dec 30, 2023 | 13.10 Bn |
| Sep 9, 2023 | 10.68 Bn |
| Jun 17, 2023 | 10.12 Bn |
| Mar 25, 2023 | 7.99 Bn |
| Dec 31, 2022 | 13.42 Bn |
| Sep 3, 2022 | 10.31 Bn |
| Jun 11, 2022 | 9.42 Bn |
| Mar 19, 2022 | 7.43 Bn |
| Dec 25, 2021 | 12.13 Bn |
API Access
Pepsico Cost of Revenue 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=cost-of-revenue&ticker=PEP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=PEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();