Pepsico (PEP) EBITDA (2009 - 2026)
Pepsico (PEP) reported EBITDA of $5.15 billion for Q3 2026, up 17.3% from $4.39 billion a year earlier and up 4.7% from the prior quarter.
Pepsico (PEP) EBITDA (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 5, 2026, Pepsico's EBITDA came in at $18.72 billion, up 38.2% year-over-year; for FY2025, it came in at $14.95 billion, down 6.8% from FY2024.
- EBITDA has a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- By year, EBITDA came in at $16.05 billion in FY2024 (+7.5%), $14.93 billion in FY2023 (+4.6%), $14.28 billion in FY2022 (+2.9%) and $13.87 billion in FY2021 (+9.9%).
- The Q3 2026 figure ranks as the highest quarterly EBITDA since Q1 2022.
- Year over year, EBITDA has now increased in each of the last four quarters, with growth averaging 17.6% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was Q1 2022 (growth of 102.7%); the low point was Q4 2022 (a decline of 49.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $4.92 billion (Q2 2026), $3.96 billion (Q1 2026) and $4.69 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 415.05 Bn | 401.36 Bn | 8.45 Bn | 4.72 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 | 5.15 Bn |
| 4 | Monster Beverage | 95.69 Bn | 83.94 Bn | 1.42 Bn | 770.23 Mn |
| 5 | Diageo | 54.44 Bn | 34.51 Bn | - | - |
| 6 | Coca-Cola Europacific Partners | 53.15 Bn | 45.82 Bn | - | - |
| 7 | Keurig Dr Pepper | 50.27 Bn | 46.32 Bn | 3.07 Bn | 971.00 Mn |
| 8 | Ambev | 43.18 Bn | 27.99 Bn | 2.14 Bn | 1.41 Bn |
| 9 | Constellation Brands | 25.00 Bn | 24.55 Bn | 1.39 Bn | 901.80 Mn |
| 10 | Brown Forman | 14.15 Bn | 12.83 Bn | 549.00 Mn | 275.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 5, 2026 | 5.15 Bn |
| Jun 13, 2026 | 4.92 Bn |
| Mar 21, 2026 | 3.96 Bn |
| Dec 27, 2025 | 4.69 Bn |
| Sep 6, 2025 | 4.39 Bn |
| Jun 14, 2025 | 2.60 Bn |
| Mar 22, 2025 | 3.27 Bn |
| Dec 28, 2024 | 3.29 Bn |
| Sep 7, 2024 | 4.61 Bn |
| Jun 15, 2024 | 4.79 Bn |
| Mar 23, 2024 | 3.36 Bn |
| Dec 30, 2023 | 2.66 Bn |
| Sep 9, 2023 | 4.72 Bn |
| Jun 17, 2023 | 4.34 Bn |
| Mar 25, 2023 | 3.22 Bn |
| Dec 31, 2022 | 1.72 Bn |
| Sep 3, 2022 | 4.01 Bn |
| Jun 11, 2022 | 2.72 Bn |
| Mar 19, 2022 | 5.82 Bn |
| Dec 25, 2021 | 3.41 Bn |
Pepsico EBITDA 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=ebitda&ticker=PEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=PEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();