Central North Airport (OMAB) Return on Sales [ROS] (2012 - 2025)
Central North Airport's Return on Sales [ROS] was 56.01% in the year ended Dec 31, 2025, up 2.38 percentage points from 53.63% a year earlier.
Central North Airport (OMAB) Return on Sales [ROS] (2012 - 2025) Analysis & Trends
From the year ended Dec 31, 2009 onward, Central North Airport has reported Return on Sales [ROS] for 17 years.
- Return on Sales [ROS] shows a five-year change of +23.93 percentage points (years ended Dec 2020 to Dec 2025).
- The figure for the year ended Dec 31, 2025 marks the highest annual Return on Sales [ROS] since the year ended Dec 31, 2019.
- Per Business Quant data, Return on Sales [ROS] in earlier years was 53.63% in the year ended Dec 31, 2024 (-2.17 pp), 55.80% in the year ended Dec 31, 2023 (+4.99 pp), 50.81% in the year ended Dec 31, 2022 (+3.68 pp) and 47.14% in the year ended Dec 31, 2021 (+15.07 pp).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 40.25% |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | 38.27% |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | 35.35% |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | 32.44% |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 4.07% |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 6.20% |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | 9.43% |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | 29.94% |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | 6.20% |
| 10 | Central North Airport | 4.55 Bn | 3.91 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2025 | 52.74% |
| Jun 30, 2024 | 55.10% |
| Dec 31, 2022 | 47.71% |
| Dec 31, 2021 | 47.59% |
| Dec 31, 2020 | 22.29% |
| Dec 31, 2019 | 40.95% |
| Jun 30, 2019 | 58.52% |
| Jun 30, 2018 | 50.60% |
| Sep 30, 2015 | 43.76% |
| Sep 30, 2014 | 41.29% |
| Mar 31, 2013 | 37.52% |
| Mar 31, 2012 | 37.54% |
Central North Airport 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=OMAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "OMAB", "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=OMAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();