Pepsico (PEP) Sales of Property, Plant and Equipment (2009 - 2026)
Pepsico (PEP) recorded Sales of Property, Plant and Equipment of $58 million in Q2 2026, up 56.8% from $37 million a year earlier and up 346.2% from the prior quarter.
Pepsico (PEP) Sales of Property, Plant and Equipment (2009 - 2026) Analysis & Trends
On a TTM basis, Pepsico's Sales of Property, Plant and Equipment came in at $430 million as of Jun 13, 2026, up 12.0% year-over-year; for FY2025, it was $528 million, up 54.4% from FY2024.
- Annual Sales of Property, Plant and Equipment has a five-year compound annual growth rate of 57.2% (FY2020 to FY2025).
- Across earlier years, Sales of Property, Plant and Equipment came in at $342 million in FY2024 (+72.7%), $198 million in FY2023 (-21.1%), $251 million in FY2022 (+51.2%) and $166 million in FY2021 (+201.8%).
- Quarterly Sales of Property, Plant and Equipment has ranged from $3 million in Q1 2022 to $256 million in Q4 2025 over the past five years.
- On a year-over-year basis, Sales of Property, Plant and Equipment rose in five of the last seven quarters, with growth averaging 94.3%.
- Peak year-over-year performance for Sales of Property, Plant and Equipment in the last five years was growth of 533.3% in Q1 2023, against a decline of 90.2% in Q1 2026 at the low end.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 396.91 Bn | 383.38 Bn | 8.42 Bn | 5.00 Mn |
| 2 | Coca Cola Femsa Sab De Cv | 195.65 Bn | 195.65 Bn | 2.06 Bn | - |
| 3 | Pepsico | 177.06 Bn | 134.82 Bn | 13.75 Bn | 18.00 Mn |
| 4 | Monster Beverage | 88.68 Bn | 76.93 Bn | 1.42 Bn | 2.09 Mn |
| 5 | Diageo | 52.30 Bn | 32.37 Bn | - | - |
| 6 | Ambev | 51.15 Bn | 36.44 Bn | 2.06 Bn | 8.77 Mn |
| 7 | Coca-Cola Europacific Partners | 50.04 Bn | 42.71 Bn | - | - |
| 8 | Keurig Dr Pepper | 46.14 Bn | 42.19 Bn | 3.07 Bn | - |
| 9 | Constellation Brands | 22.14 Bn | 21.69 Bn | 1.39 Bn | - |
| 10 | Coca-Cola Consolidated | 13.88 Bn | 11.51 Bn | 778.41 Mn | 221,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 5, 2026 | 18.00 Mn |
| Jun 13, 2026 | 58.00 Mn |
| Mar 21, 2026 | 13.00 Mn |
| Dec 27, 2025 | 256.00 Mn |
| Sep 6, 2025 | 103.00 Mn |
| Jun 14, 2025 | 37.00 Mn |
| Mar 22, 2025 | 132.00 Mn |
| Dec 28, 2024 | 165.00 Mn |
| Sep 7, 2024 | 50.00 Mn |
| Jun 15, 2024 | 120.00 Mn |
| Mar 23, 2024 | 7.00 Mn |
| Dec 30, 2023 | 67.00 Mn |
| Sep 9, 2023 | 9.00 Mn |
| Jun 17, 2023 | 103.00 Mn |
| Mar 25, 2023 | 19.00 Mn |
| Dec 31, 2022 | 23.00 Mn |
| Sep 3, 2022 | 6.00 Mn |
| Jun 11, 2022 | 219.00 Mn |
| Mar 19, 2022 | 3.00 Mn |
| Dec 25, 2021 | 126.00 Mn |
Pepsico Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=PEP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "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=sales-of-property-plant-and-equipment&ticker=PEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();