Pepsico (PEP) Selling, General & Administrative (2009 - 2026)
Pepsico (PEP) reported Selling, General & Administrative of $9.09 billion for Q2 2026, up 3.6% from $8.77 billion a year earlier and up 20.9% from the prior quarter.
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Analysis
Pepsico (PEP) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 13, 2026, Pepsico's Selling, General & Administrative came in at $37.79 billion, up 0.6% year-over-year; for FY2025, it was $37.37 billion, up 0.5% from FY2024.
- Selling, General & Administrative has increased for eight consecutive years, with a five-year compound annual growth rate of 5.6% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $37.19 billion in FY2024 (+1.4%), $36.68 billion in FY2023 (+6.4%), $34.46 billion in FY2022 (+10.3%) and $31.24 billion in FY2021 (+9.8%).
- Five-year quarterly Selling, General & Administrative spans a low of $6.58 billion in Q1 2022 and a high of $12.34 billion in Q4 2024.
- Year over year, Selling, General & Administrative gained in seven of the last eight quarters, with growth averaging 1.6%.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2023 (growth of 15.6%); the low point was Q4 2025 (a decline of 2.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 396.91 Bn | 383.38 Bn | 8.42 Bn | 3.72 Bn |
| 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 | 9.49 Bn |
| 4 | Monster Beverage | 88.68 Bn | 76.93 Bn | 1.42 Bn | - |
| 5 | Diageo | 52.30 Bn | 32.37 Bn | - | - |
| 6 | Ambev | 51.15 Bn | 36.44 Bn | 2.06 Bn | -263.15 Mn |
| 7 | Coca-Cola Europacific Partners | 50.04 Bn | 42.71 Bn | - | -1.63 Bn |
| 8 | Keurig Dr Pepper | 46.14 Bn | 42.19 Bn | 3.07 Bn | 2.40 Bn |
| 9 | Constellation Brands | 22.14 Bn | 21.69 Bn | 1.39 Bn | 538.20 Mn |
| 10 | Coca-Cola Consolidated | 13.88 Bn | 11.51 Bn | 778.41 Mn | 507.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 5, 2026 | 9.49 Bn |
| 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 |
API Access
Pepsico Selling, General & Administrative 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=selling-general-and-administrative&ticker=PEP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=PEP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();