Surf Air Mobility (SRFM) Return on Sales [ROS] (2022 - 2026)
Surf Air Mobility's Return on Sales [ROS] was -63.70% in Q2 2026, down 5.63 percentage points from -58.08% a year earlier and down 11.56 percentage points from the prior quarter.
Surf Air Mobility (SRFM) Return on Sales [ROS] (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Surf Air Mobility's Return on Sales [ROS] was -67.30% through Jun 30, 2026, down 34.68 percentage points year-over-year; for FY2025, it came in at -72.14%, down 21.69 percentage points from FY2024.
- Return on Sales [ROS] shows a three-year change of +178.94 percentage points (FY2022 to FY2025).
- In earlier years, Return on Sales [ROS] was -50.46% in FY2024 (+274.75 pp), -325.21% in FY2023 (-74.13 pp) and -251.08% in FY2022.
- Quarterly Return on Sales [ROS] has moved between -404.46% (Q4 2023) and 28.91% (Q4 2024) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in five of the last eight quarters, with an average year-over-year change of +76.46 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2024 (a gain of 433.37 percentage points); the worst was Q4 2023 (a drop of 141.37 percentage points).
- Per Business Quant data, SRFM's Return on Sales [ROS] in the three quarters before Q2 2026 was -52.14% (Q1 2026), -97.84% (Q4 2025) and -56.56% (Q3 2025).
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 | Surf Air Mobility | 95.44 Mn | 53.11 Mn | 62,000.00 | -63.70% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -63.70% |
| Mar 31, 2026 | -52.14% |
| Dec 31, 2025 | -97.84% |
| Sep 30, 2025 | -56.56% |
| Jun 30, 2025 | -58.08% |
| Mar 31, 2025 | -78.99% |
| Dec 31, 2024 | 28.91% |
| Sep 30, 2024 | -30.43% |
| Jun 30, 2024 | -78.04% |
| Mar 31, 2024 | -112.56% |
| Dec 31, 2023 | -404.46% |
| Sep 30, 2023 | -286.90% |
| Jun 30, 2023 | -212.33% |
| Mar 31, 2023 | -218.78% |
| Dec 31, 2022 | -263.09% |
| Sep 30, 2022 | -218.56% |
| Jun 30, 2022 | -291.54% |
Surf Air Mobility 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=SRFM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SRFM", "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=SRFM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();