Coca Cola Femsa Sab De Cv (KOF) Return on Sales [ROS] (2009 - 2026)
Coca Cola Femsa Sab De Cv (KOF) reported Return on Sales [ROS] of 14.90% for Q3 2026, up 0.58 percentage points from 14.32% a year earlier and up 0.93 percentage points from the prior quarter.
Coca Cola Femsa Sab De Cv (KOF) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Coca Cola Femsa Sab De Cv's Return on Sales [ROS] came in at 14.82%, up 0.57 percentage points year-over-year; for FY2025, it came in at 14.72%, up 0.37 percentage points from FY2024.
- Return on Sales [ROS] has increased for three consecutive years, with a five-year change of +1.90 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 14.35% in FY2024 (+0.40 pp), 13.95% in FY2023 (+0.35 pp), 13.60% in FY2022 (-0.47 pp) and 14.07% in FY2021 (+1.24 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 12.73% in Q1 2026 and a high of 17.62% in Q4 2025.
- Year over year, Return on Sales [ROS] gained in five of the last eight quarters, with an average year-over-year change of +0.40 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2025 (a gain of 1.61 percentage points); the low point was Q2 2022 (a drop of 1.82 percentage points).
- Per Business Quant data, the three quarters before Q3 2026 came in at 13.96% (Q2 2026), 12.73% (Q1 2026) and 17.62% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Coca Cola | 411.73 Bn | 398.05 Bn | 8.45 Bn | 33.37% |
| 2 | Diageo | 221.87 Bn | 201.94 Bn | - | - |
| 3 | Pepsico | 192.76 Bn | 150.52 Bn | 13.75 Bn | 16.86% |
| 4 | Coca Cola Femsa Sab De Cv | 192.22 Bn | 192.22 Bn | 2.15 Bn | 14.90% |
| 5 | Monster Beverage | 89.55 Bn | 77.80 Bn | 1.42 Bn | 29.18% |
| 6 | Coca-Cola Europacific Partners | 53.01 Bn | 45.68 Bn | - | - |
| 7 | Keurig Dr Pepper | 49.85 Bn | 45.89 Bn | 3.07 Bn | 8.59% |
| 8 | Ambev | 43.57 Bn | 28.38 Bn | 2.14 Bn | 25.65% |
| 9 | Constellation Brands | 24.18 Bn | 23.73 Bn | 1.39 Bn | 28.58% |
| 10 | Brown Forman | 14.04 Bn | 12.73 Bn | 549.00 Mn | 21.34% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 14.90% |
| Jun 30, 2026 | 13.96% |
| Mar 31, 2026 | 12.73% |
| Dec 31, 2025 | 17.62% |
| Sep 30, 2025 | 14.32% |
| Jun 30, 2025 | 13.39% |
| Mar 31, 2025 | 13.18% |
| Dec 31, 2024 | 16.01% |
| Sep 30, 2024 | 13.85% |
| Jun 30, 2024 | 14.03% |
| Mar 31, 2024 | 13.51% |
| Dec 31, 2023 | 14.64% |
| Sep 30, 2023 | 13.46% |
| Jun 30, 2023 | 13.94% |
| Mar 31, 2023 | 13.47% |
| Dec 31, 2022 | 14.72% |
| Sep 30, 2022 | 12.85% |
| Jun 30, 2022 | 13.35% |
| Mar 31, 2022 | 13.37% |
| Dec 31, 2021 | 14.60% |
Coca Cola Femsa Sab De Cv Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=KOF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=KOF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();