Coca Cola Femsa Sab De Cv (KOF) Cost of Revenue (2009 - 2026)
Coca Cola Femsa Sab De Cv's Cost of Revenue was $2.47 billion in Q3 2026, up 16.6% from $2.12 billion a year earlier and up 6.6% from the prior quarter.
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Analysis
Coca Cola Femsa Sab De Cv (KOF) Cost of Revenue (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Coca Cola Femsa Sab De Cv's Cost of Revenue was $9.2 billion through Sep 30, 2026, up 14.6% year-over-year; for FY2025, it came in at $8.27 billion, down 0.3% from FY2024.
- Cost of Revenue shows a five-year compound annual growth rate of 10.3% (FY2020 to FY2025).
- In earlier years, Cost of Revenue was $8.3 billion in FY2024 (+9.5%), $7.58 billion in FY2023 (+20.5%), $6.29 billion in FY2022 (+20.0%) and $5.24 billion in FY2021 (+3.4%).
- The Q3 2026 figure marks the highest quarterly Cost of Revenue since Q4 2013.
- Compared with a year earlier, Cost of Revenue has increased for five straight quarters, with growth averaging 5.9% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was Q3 2023 (growth of 27.2%); the worst was Q1 2025 (a decline of 9.9%).
- Per Business Quant data, KOF's Cost of Revenue in the three quarters before Q3 2026 was $2.32 billion (Q2 2026), $2.15 billion (Q1 2026) and $2.26 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 411.73 Bn | 398.05 Bn | 8.45 Bn | 4.93 Bn |
| 2 | Diageo | 221.87 Bn | 201.94 Bn | - | - |
| 3 | Pepsico | 192.76 Bn | 150.52 Bn | 13.75 Bn | 11.52 Bn |
| 4 | Coca Cola Femsa Sab De Cv | 192.22 Bn | 192.22 Bn | 2.15 Bn | 2.47 Bn |
| 5 | Monster Beverage | 89.55 Bn | 77.80 Bn | 1.42 Bn | 1.12 Bn |
| 6 | Coca-Cola Europacific Partners | 53.01 Bn | 45.68 Bn | - | - |
| 7 | Keurig Dr Pepper | 49.85 Bn | 45.89 Bn | 3.07 Bn | 4.24 Bn |
| 8 | Ambev | 43.57 Bn | 28.38 Bn | 2.14 Bn | 2.06 Bn |
| 9 | Constellation Brands | 24.18 Bn | 23.73 Bn | 1.39 Bn | 1.24 Bn |
| 10 | Brown Forman | 14.04 Bn | 12.73 Bn | 549.00 Mn | 362.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.47 Bn |
| Jun 30, 2026 | 2.32 Bn |
| Mar 31, 2026 | 2.15 Bn |
| Dec 31, 2025 | 2.26 Bn |
| Sep 30, 2025 | 2.12 Bn |
| Jun 30, 2025 | 2.04 Bn |
| Mar 31, 2025 | 1.88 Bn |
| Dec 31, 2024 | 1.99 Bn |
| Sep 30, 2024 | 1.99 Bn |
| Jun 30, 2024 | 2.18 Bn |
| Mar 31, 2024 | 2.08 Bn |
| Dec 31, 2023 | 2.03 Bn |
| Sep 30, 2023 | 1.99 Bn |
| Jun 30, 2023 | 1.93 Bn |
| Mar 31, 2023 | 1.71 Bn |
| Dec 31, 2022 | 1.74 Bn |
| Sep 30, 2022 | 1.57 Bn |
| Jun 30, 2022 | 1.60 Bn |
| Mar 31, 2022 | 1.39 Bn |
| Dec 31, 2021 | 1.41 Bn |
API Access
Coca Cola Femsa Sab De Cv Cost of Revenue 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=cost-of-revenue&ticker=KOF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=KOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();