Surf Air Mobility (SRFM) Tax Provisions (2023 - 2026)
Surf Air Mobility's Tax Provisions came in at -$53,000 for Q2 2026, compared with -$64,000 a year earlier.
Surf Air Mobility (SRFM) Tax Provisions (2023 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Surf Air Mobility reported Tax Provisions of -$355,000; for FY2025, it came in at -$380,000.
- Going back by year, Tax Provisions was -$287,000 in FY2024 and -$3.3 million in FY2023.
- The five-year range for quarterly Tax Provisions is -$3.6 million (Q3 2023) to $296,000 (Q4 2023).
- Business Quant data shows SRFM's Tax Provisions at -$39,000 (Q1 2026), -$201,000 (Q4 2025) and -$62,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 562.00 Mn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 318.00 Mn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 242.18 Mn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 157.00 Mn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 225.00 Mn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 510.00 Mn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 405.00 Mn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 116.87 Mn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | -64.16 Mn |
| 10 | Surf Air Mobility | 117.08 Mn | 74.76 Mn | 62,000.00 | -53,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -53,000.00 |
| Mar 31, 2026 | -39,000.00 |
| Dec 31, 2025 | -201,000.00 |
| Sep 30, 2025 | -62,000.00 |
| Jun 30, 2025 | -64,000.00 |
| Mar 31, 2025 | -53,000.00 |
| Dec 31, 2024 | -192,000.00 |
| Sep 30, 2024 | -14,000.00 |
| Jun 30, 2024 | -35,000.00 |
| Mar 31, 2024 | -46,000.00 |
| Dec 31, 2023 | 296,000.00 |
| Sep 30, 2023 | -3.60 Mn |
Surf Air Mobility Tax Provisions 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=tax-provisions&ticker=SRFM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=SRFM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();