Surf Air Mobility (SRFM) Operating Expenses (2022 - 2026)
Surf Air Mobility (SRFM) recorded Operating Expenses of $48.31 million in Q2 2026, up 11.4% from $43.36 million a year earlier and up 24.0% from the prior quarter.
Surf Air Mobility (SRFM) Operating Expenses (2022 - 2026) Analysis & Trends
On a TTM basis, Surf Air Mobility's Operating Expenses came in at $185.27 million as of Jun 30, 2026, up 30.1% year-over-year; for FY2025, it was $183.43 million, up 2.1% from FY2024.
- Annual Operating Expenses has a three-year compound annual growth rate of 37.1% (FY2022 to FY2025).
- Across earlier years, Operating Expenses came in at $179.68 million in FY2024 (-30.2%), $257.27 million in FY2023 (+261.4%) and $71.18 million in FY2022.
- Quarterly Operating Expenses has ranged from $16.19 million in Q3 2022 to $135.38 million in Q4 2023 over the past five years.
- On a year-over-year basis, Operating Expenses rose in three of the last eight quarters, with an average decline of 1.5%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 532.4% in Q4 2023, against a decline of 85.3% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $38.97 million (Q1 2026), $52.32 million (Q4 2025) and $45.67 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - | 4.10 Bn |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 2.43 Bn |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 21.90 Bn |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 1.95 Bn |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 2.34 Bn |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 18.73 Bn |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | 1.09 Bn |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 16.58 Bn |
| 10 | Surf Air Mobility | 86.58 Mn | 44.26 Mn | 62,000.00 | 48.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 48.31 Mn |
| Mar 31, 2026 | 38.97 Mn |
| Dec 31, 2025 | 52.32 Mn |
| Sep 30, 2025 | 45.67 Mn |
| Jun 30, 2025 | 43.36 Mn |
| Mar 31, 2025 | 42.07 Mn |
| Dec 31, 2024 | 19.94 Mn |
| Sep 30, 2024 | 37.02 Mn |
| Jun 30, 2024 | 57.62 Mn |
| Mar 31, 2024 | 65.09 Mn |
| Dec 31, 2023 | 135.38 Mn |
| Sep 30, 2023 | 84.99 Mn |
| Jun 30, 2023 | 19.35 Mn |
| Mar 31, 2023 | 17.56 Mn |
| Dec 31, 2022 | 21.41 Mn |
| Sep 30, 2022 | 16.19 Mn |
| Jun 30, 2022 | 17.53 Mn |
Surf Air Mobility 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=operating-expenses&ticker=SRFM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=SRFM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();