Pepsico (PEP) Operating Expenses (2009 - 2026)
Pepsico's (PEP) quarterly Operating Expenses came in at $9.1 billion in Q2 2026, up 3.59% year-over-year from $8.8 billion in Q2 2025, and up 20.88% quarter-over-quarter from $7.5 billion in Q1 2026.
Pepsico (PEP) Operating Expenses (2009 - 2026) Analysis & Trends
Pepsico (PEP) has reported Operating Expenses for 18 consecutive years, with $9.1 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Operating Expenses rose 3.59% year-over-year to $9.1 billion in Q2 2026; TTM through Jun 2026 was $37.8 billion, a 0.63% increase from a year earlier, with the FY2025 full-year figure at $37.4 billion, changed 0.48% from the prior year.
- Operating Expenses was $9.1 billion for Q2 2026 at Pepsico, up from $7.5 billion in the prior quarter.
- Over five years, Operating Expenses peaked at $12.3 billion in Q4 2024 and troughed at $6.6 billion in Q1 2022.
- A 5-year average of $9.0 billion and a median of $8.7 billion in 2023 frame the typical range for Operating Expenses.
- Across the five-year window, Operating Expenses advanced 15.64% in 2023 and fell 2.28% in 2025, its largest moves.
- Over 5 years, Operating Expenses stood at $12.2 billion in 2022, then declined by 0.44% to $12.1 billion in 2023, then climbed by 1.66% to $12.3 billion in 2024, then declined by 2.28% to $12.1 billion in 2025, then slipped by 24.66% to $9.1 billion in 2026.
- The last three Operating Expenses figures came in at $9.1 billion (Q2 2026), $7.5 billion (Q1 2026), and $12.1 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 379.05 Bn | 367.07 Bn | 8.42 Bn | 3.72 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 | 1.49 Bn |
| 4 | Pepsico | 177.68 Bn | 167.14 Bn | 13.11 Bn | 9.09 Bn |
| 5 | Monster Beverage | 86.02 Bn | 82.60 Bn | 1.42 Bn | 679.19 Mn |
| 6 | Ambev | 46.18 Bn | 42.67 Bn | 2.06 Bn | -724.58 Mn |
| 7 | Coca-Cola Europacific Partners | 44.77 Bn | 44.20 Bn | - | -5.53 Bn |
| 8 | Keurig Dr Pepper | 43.22 Bn | 45.90 Bn | 3.07 Bn | 46.00 Mn |
| 9 | Andina Bottling | 28.97 Bn | -301.93 Bn | 698.26 Mn | 618.19 Mn |
| 10 | Constellation Brands | 19.91 Bn | 19.81 Bn | 1.32 Bn | 457.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 13, 2026 | 9.09 Bn |
| Mar 21, 2026 | 7.52 Bn |
| Dec 27, 2025 | 12.06 Bn |
| Sep 6, 2025 | 9.12 Bn |
| Jun 14, 2025 | 8.77 Bn |
| Mar 22, 2025 | 7.41 Bn |
| Dec 28, 2024 | 12.34 Bn |
| Sep 7, 2024 | 9.03 Bn |
| Jun 15, 2024 | 8.53 Bn |
| Mar 23, 2024 | 7.29 Bn |
| Dec 30, 2023 | 12.14 Bn |
| Sep 9, 2023 | 8.76 Bn |
| Jun 17, 2023 | 8.54 Bn |
| Mar 25, 2023 | 7.23 Bn |
| Dec 31, 2022 | 12.20 Bn |
| Sep 3, 2022 | 8.30 Bn |
| Jun 11, 2022 | 7.39 Bn |
| Mar 19, 2022 | 6.58 Bn |
| Dec 25, 2021 | 10.56 Bn |
| Sep 4, 2021 | 7.64 Bn |
Pepsico Operating Expenses 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=operating-expenses&ticker=PEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=PEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();