Mondelez International (MDLZ) Selling, General & Administrative (2009 - 2026)
Mondelez International's Selling, General & Administrative came in at $2 billion for Q2 2026, up 16.0% from $1.73 billion a year earlier and up 4.4% from the prior quarter.
Mondelez International (MDLZ) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Mondelez International reported Selling, General & Administrative of $7.65 billion, up 8.6% year-over-year; for FY2025, it came in at $7.17 billion, down 3.6% from FY2024.
- Selling, General & Administrative carries a five-year compound annual growth rate of 3.3% (FY2020 to FY2025).
- Going back by year, Selling, General & Administrative was $7.44 billion in FY2024 (-7.0%), $8 billion in FY2023 (+8.4%), $7.38 billion in FY2022 (+17.9%) and $6.26 billion in FY2021 (+2.7%).
- The Q2 2026 figure represents the highest quarterly Selling, General & Administrative since Q4 2023.
- Year-over-year, Selling, General & Administrative increased in three of the last eight quarters, with an average decline of 2.0%.
- The fastest year-over-year change in Selling, General & Administrative over five years came in Q3 2022 (growth of 31.2%), and the weakest in Q3 2024 (a decline of 19.3%).
- Business Quant data shows MDLZ's Selling, General & Administrative at $1.92 billion (Q1 2026), $1.94 billion (Q4 2025) and $1.8 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | - |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 2.00 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 620.55 Mn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 8.46 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 832.20 Mn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 410.50 Mn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 436.40 Mn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 323.50 Mn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 704.40 Mn |
| 10 | Conagra Brands | 6.38 Bn | 5.69 Bn | 618.70 Mn | 350.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.00 Bn |
| Mar 31, 2026 | 1.92 Bn |
| Dec 31, 2025 | 1.94 Bn |
| Sep 30, 2025 | 1.80 Bn |
| Jun 30, 2025 | 1.73 Bn |
| Mar 31, 2025 | 1.71 Bn |
| Dec 31, 2024 | 1.98 Bn |
| Sep 30, 2024 | 1.63 Bn |
| Jun 30, 2024 | 1.89 Bn |
| Mar 31, 2024 | 1.94 Bn |
| Dec 31, 2023 | 2.26 Bn |
| Sep 30, 2023 | 2.02 Bn |
| Jun 30, 2023 | 1.87 Bn |
| Mar 31, 2023 | 1.86 Bn |
| Dec 31, 2022 | 2.13 Bn |
| Sep 30, 2022 | 1.88 Bn |
| Jun 30, 2022 | 1.68 Bn |
| Mar 31, 2022 | 1.69 Bn |
| Dec 31, 2021 | 1.67 Bn |
| Sep 30, 2021 | 1.44 Bn |
Mondelez International 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=MDLZ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "MDLZ", "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=MDLZ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();