Pepsico (PEP) EV to EBITDA (2009 - 2026)
Pepsico's (PEP) quarterly EV to EBITDA came in at 46.33 in Q2 2026, down 51.62% year-over-year from 95.76 in Q2 2025, and down 23.43% quarter-over-quarter from 60.5 in Q1 2026.
Pepsico (PEP) EV to EBITDA (2009 - 2026) Analysis & Trends
Pepsico (PEP) has reported EV to EBITDA for 18 consecutive years, with 46.33 the latest figure, recorded in Q2 2026.
- On a quarterly basis, EV to EBITDA fell 51.62% year-over-year to 46.33 in Q2 2026; TTM through Jun 2026 was 12.98, a 20.51% decrease from a year earlier, with the FY2025 full-year figure at 16.27, up 4.57% from the prior year.
- EV to EBITDA was 46.33 for Q2 2026 at Pepsico, down from 60.5 in the prior quarter.
- Over five years, EV to EBITDA peaked at 298.88 in Q4 2022 and troughed at 41.45 in Q1 2022.
- A 5-year average of 85.3 and a median of 68.21 in 2023 frame the typical range for EV to EBITDA.
- Across the five-year window, EV to EBITDA jumped 234.38% in 2022 and slumped 55.56% in 2023, its largest moves.
- Over 5 years, EV to EBITDA stood at 298.88 in 2022, then plunged by 55.56% to 132.84 in 2023, then sank by 32.9% to 89.13 in 2024, then tumbled by 40.99% to 52.6 in 2025, then dropped by 11.93% to 46.33 in 2026.
- The last three EV to EBITDA figures came in at 46.33 (Q2 2026), 60.5 (Q1 2026), and 52.6 (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 379.05 Bn | 367.07 Bn | 8.42 Bn |
| 2 | Diageo | 209.58 Bn | 209.63 Bn | - |
| 3 | Coca Cola Femsa Sab De Cv | 185.97 Bn | 185.19 Bn | 2.06 Bn |
| 4 | Pepsico | 177.68 Bn | 167.14 Bn | 13.11 Bn |
| 5 | Monster Beverage | 86.02 Bn | 82.60 Bn | 1.42 Bn |
| 6 | Ambev | 46.18 Bn | 42.67 Bn | 2.06 Bn |
| 7 | Coca-Cola Europacific Partners | 44.77 Bn | 44.20 Bn | - |
| 8 | Keurig Dr Pepper | 43.22 Bn | 45.90 Bn | 3.07 Bn |
| 9 | Andina Bottling | 28.97 Bn | -301.93 Bn | 698.26 Mn |
| 10 | Constellation Brands | 19.91 Bn | 19.81 Bn | 1.32 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 13, 2026 | 46.33 |
| Mar 21, 2026 | 60.50 |
| Dec 27, 2025 | 52.60 |
| Sep 6, 2025 | 53.70 |
| Jun 14, 2025 | 95.76 |
| Mar 22, 2025 | 73.94 |
| Dec 28, 2024 | 89.13 |
| Sep 7, 2024 | 60.80 |
| Jun 15, 2024 | 53.97 |
| Mar 23, 2024 | 84.02 |
| Dec 30, 2023 | 132.84 |
| Sep 9, 2023 | 57.84 |
| Jun 17, 2023 | 68.27 |
| Mar 25, 2023 | 91.92 |
| Dec 31, 2022 | 298.88 |
| Sep 3, 2022 | 68.16 |
| Jun 11, 2022 | 105.31 |
| Mar 19, 2022 | 41.45 |
| Dec 25, 2021 | 89.38 |
| Sep 4, 2021 | 66.63 |
Pepsico EV to 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=ev-to-ebitda&ticker=PEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=PEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();