Pepsico (PEP) Inventory (2009 - 2026)
Pepsico's (PEP) quarterly Inventory came in at $6.7 billion in Q2 2026, up 3.81% year-over-year from $6.5 billion in Q2 2025, and up 8.42% quarter-over-quarter from $6.2 billion in Q1 2026.
Pepsico (PEP) Inventory (2009 - 2026) Analysis & Trends
Pepsico (PEP) has reported Inventory for 18 consecutive years, with $6.7 billion the latest figure, recorded in Q2 2026.
- On a quarterly basis, Inventory rose 3.81% year-over-year to $6.7 billion in Q2 2026; TTM through Jun 2026 was $6.7 billion, a 3.81% increase from a year earlier, with the FY2025 full-year figure at $5.8 billion, up 10.16% from the prior year.
- Inventory was $6.7 billion for Q2 2026 at Pepsico, up from $6.2 billion in the prior quarter.
- Over five years, Inventory peaked at $6.7 billion in Q2 2026 and troughed at $4.8 billion in Q1 2022.
- A 5-year average of $5.7 billion and a median of $5.7 billion in 2024 frame the typical range for Inventory.
- Across the five-year window, Inventory climbed 20.13% in 2022 and fell 2.25% in 2024, its largest moves.
- Over 5 years, Inventory stood at $5.2 billion in 2022, then gained by 2.14% to $5.3 billion in 2023, then retreated by 0.52% to $5.3 billion in 2024, then grew by 10.16% to $5.8 billion in 2025, then rose by 15.21% to $6.7 billion in 2026.
- The last three Inventory figures came in at $6.7 billion (Q2 2026), $6.2 billion (Q1 2026), and $5.8 billion (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 379.05 Bn | 367.07 Bn | 8.42 Bn | 4.65 Bn |
| 2 | Diageo | 209.58 Bn | 209.63 Bn | - | 10.53 Bn |
| 3 | Coca Cola Femsa Sab De Cv | 185.97 Bn | 185.19 Bn | 2.06 Bn | 2.49 Bn |
| 4 | Pepsico | 177.68 Bn | 167.14 Bn | 13.11 Bn | 6.73 Bn |
| 5 | Monster Beverage | 86.02 Bn | 82.60 Bn | 1.42 Bn | 867.67 Mn |
| 6 | Ambev | 46.18 Bn | 42.67 Bn | 2.06 Bn | 2.06 Bn |
| 7 | Coca-Cola Europacific Partners | 44.77 Bn | 44.20 Bn | - | 1.80 Bn |
| 8 | Keurig Dr Pepper | 43.22 Bn | 45.90 Bn | 3.07 Bn | 3.86 Bn |
| 9 | Andina Bottling | 28.97 Bn | -301.93 Bn | 698.26 Mn | 328.41 Bn |
| 10 | Constellation Brands | 19.91 Bn | 19.81 Bn | 1.32 Bn | 1.45 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 13, 2026 | 6.73 Bn |
| Mar 21, 2026 | 6.21 Bn |
| Dec 27, 2025 | 5.85 Bn |
| Sep 6, 2025 | 6.09 Bn |
| Jun 14, 2025 | 6.49 Bn |
| Mar 22, 2025 | 5.66 Bn |
| Dec 28, 2024 | 5.31 Bn |
| Sep 7, 2024 | 5.64 Bn |
| Jun 15, 2024 | 5.89 Bn |
| Mar 23, 2024 | 5.57 Bn |
| Dec 30, 2023 | 5.33 Bn |
| Sep 9, 2023 | 5.56 Bn |
| Jun 17, 2023 | 5.97 Bn |
| Mar 25, 2023 | 5.70 Bn |
| Dec 31, 2022 | 5.22 Bn |
| Sep 3, 2022 | 5.02 Bn |
| Jun 11, 2022 | 5.29 Bn |
| Mar 19, 2022 | 4.76 Bn |
| Dec 25, 2021 | 4.35 Bn |
| Sep 4, 2021 | 4.36 Bn |
Pepsico Inventory 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=inventory&ticker=PEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=PEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();