Pepsico (PEP) Price to Earnings (2009 - 2026)
Pepsico's (PEP) quarterly Price to Earnings came in at 65.55 in Q2 2026, down 53.2% year-over-year from 140.07 in Q2 2025, and down 97.57% quarter-over-quarter from 2698.29 in Q1 2026.
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Analysis
Pepsico (PEP) Price to Earnings (2009 - 2026) Analysis & Trends
Pepsico (PEP) has reported Price to Earnings for 18 consecutive years, with 65.55 the latest figure, recorded in Q2 2026.
- On a quarterly basis, Price to Earnings fell 53.2% year-over-year to 65.55 in Q2 2026; TTM through Jun 2026 was 23.86, a 22.81% decrease from a year earlier, with the FY2025 full-year figure at 23.69, up 8.75% from the prior year.
- Price to Earnings was 65.55 for Q2 2026 at Pepsico, down from 2698.29 in the prior quarter.
- Over five years, Price to Earnings peaked at 16892.19 in Q1 2024 and troughed at 148.52 in Q2 2024.
- A 5-year average of 1472.27 and a median of 109.67 in 2023 frame the typical range for Price to Earnings.
- The widest YoY moves for Price to Earnings: up 13209.4% in 2024, down 260.7% in 2024.
- Over 5 years, Price to Earnings stood at 465.07 in 2022, then slumped by 62.09% to 176.31 in 2023, then retreated by 22.47% to 136.69 in 2024, then plunged by 43.74% to 76.91 in 2025, then slipped by 14.77% to 65.55 in 2026.
- The last three Price to Earnings figures came in at 65.55 (Q2 2026), 2698.29 (Q1 2026), and 76.91 (Q4 2025), per Business Quant data.
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 13, 2026 | 65.55 |
| Mar 21, 2026 | 2,698.29 |
| Dec 27, 2025 | 76.91 |
| Sep 6, 2025 | 76.46 |
| Jun 14, 2025 | 140.07 |
| Mar 22, 2025 | 5,247.99 |
| Dec 28, 2024 | 136.69 |
| Sep 7, 2024 | 82.62 |
| Jun 15, 2024 | -148.52 |
| Mar 23, 2024 | 16,892.19 |
| Dec 30, 2023 | 176.31 |
| Sep 9, 2023 | 77.78 |
| Jun 17, 2023 | 92.42 |
| Mar 25, 2023 | 126.92 |
| Dec 31, 2022 | 465.07 |
| Sep 3, 2022 | 86.31 |
| Jun 11, 2022 | 155.11 |
| Mar 19, 2022 | 52.68 |
| Dec 25, 2021 | 175.15 |
| Sep 4, 2021 | 96.84 |
API Access
Pepsico Price to Earnings 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=price-to-earnings&ticker=PEP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=PEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();