Coca Cola Femsa Sab De Cv (KOF) Other Operating Expenses (2009 - 2026)
Coca Cola Femsa Sab De Cv (KOF) reported Other Operating Expenses of $1.3 billion for Q3 2026, up 26.8% from $1.03 billion a year earlier and up 1.1% from the prior quarter.
Powered by 
Analysis
Coca Cola Femsa Sab De Cv (KOF) Other Operating Expenses (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Coca Cola Femsa Sab De Cv's Other Operating Expenses came in at $4.87 billion, up 19.8% year-over-year; for FY2025, it came in at $3.33 billion, down 4.2% from FY2024.
- Other Operating Expenses has a five-year compound annual growth rate of 14.4% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $3.48 billion in FY2024 (+15.2%), $3.02 billion in FY2023 (+26.2%), $2.39 billion in FY2022 (+14.0%) and $2.1 billion in FY2021 (+23.3%).
- The Q3 2026 figure ranks as the highest quarterly Other Operating Expenses since Q4 2012.
- Year over year, Other Operating Expenses has now increased in each of the last four quarters, with growth averaging 8.9% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was Q3 2023 (growth of 34.6%); the low point was Q1 2025 (a decline of 6.0%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $1.29 billion (Q2 2026), $1.18 billion (Q1 2026) and $1.1 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Coca Cola | 411.82 Bn | 400.30 Bn | 8.45 Bn |
| 2 | Diageo | 243.85 Bn | 226.00 Bn | - |
| 3 | Pepsico | 194.48 Bn | 152.43 Bn | 13.75 Bn |
| 4 | Coca Cola Femsa Sab De Cv | 192.50 Bn | 192.50 Bn | 2.15 Bn |
| 5 | Monster Beverage | 93.70 Bn | 81.95 Bn | 1.42 Bn |
| 6 | Coca-Cola Europacific Partners | 52.67 Bn | 45.89 Bn | - |
| 7 | Keurig Dr Pepper | 50.20 Bn | 50.44 Bn | 3.07 Bn |
| 8 | Ambev | 44.13 Bn | 29.04 Bn | 2.14 Bn |
| 9 | Constellation Brands | 24.46 Bn | 24.01 Bn | 1.39 Bn |
| 10 | Brown Forman | 14.21 Bn | 12.90 Bn | 549.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -39.84 Mn |
| Jun 30, 2026 | -25.74 Mn |
| Mar 31, 2026 | 10.02 Mn |
| Dec 31, 2025 | -44.64 Mn |
| Sep 30, 2025 | -8.54 Mn |
| Jun 30, 2025 | -14.91 Mn |
| Mar 31, 2025 | 9.01 Mn |
| Dec 31, 2024 | -12.62 Mn |
| Sep 30, 2024 | 4.02 Mn |
| Jun 30, 2024 | 39.10 Mn |
| Mar 31, 2024 | 11.07 Mn |
| Dec 31, 2023 | 24.68 Mn |
| Sep 30, 2023 | 29.32 Mn |
| Jun 30, 2023 | -2.60 Mn |
| Mar 31, 2023 | -1.61 Mn |
| Dec 31, 2022 | 11.49 Mn |
| Sep 30, 2022 | 8.26 Mn |
| Jun 30, 2022 | 12.99 Mn |
| Mar 31, 2022 | 1.07 Mn |
| Dec 31, 2021 | 15.58 Mn |
API Access
Coca Cola Femsa Sab De Cv Other 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=other-operating-expenses&ticker=KOF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "KOF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=KOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();