Surf Air Mobility (SRFM) Change in Accured Expenses (2022 - 2026)
Surf Air Mobility (SRFM) reported Change in Accured Expenses of $1.73 million for Q2 2026, down 34.1% from $2.63 million a year earlier.
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Analysis
Surf Air Mobility (SRFM) Change in Accured Expenses (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Surf Air Mobility's Change in Accured Expenses came in at -$7.31 million; for FY2025, it was $3.36 million, down 64.3% from FY2024.
- Change in Accured Expenses has a three-year compound annual growth rate of -16.3% (FY2022 to FY2025).
- By year, Change in Accured Expenses came in at $9.42 million in FY2024 (-50.3%), $18.95 million in FY2023 (+230.4%) and $5.74 million in FY2022.
- Five-year quarterly Change in Accured Expenses spans a low of -$6.94 million in Q1 2026 and a high of $14.4 million in Q3 2023.
- Year over year, Change in Accured Expenses gained in 1 of the last six quarters, with an average decline of 34.2%.
- The high point for year-over-year Change in Accured Expenses in five years was Q3 2023 (growth of 941.5%); the low point was Q3 2024 (a decline of 85.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$6.94 million (Q1 2026), $1.14 million (Q4 2025) and -$3.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 187.00 Mn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 147.00 Mn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 1.21 Bn |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | - |
| 10 | Surf Air Mobility | 95.44 Mn | 53.11 Mn | 62,000.00 | 1.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.73 Mn |
| Mar 31, 2026 | -6.94 Mn |
| Dec 31, 2025 | 1.14 Mn |
| Sep 30, 2025 | -3.23 Mn |
| Jun 30, 2025 | 2.63 Mn |
| Mar 31, 2025 | 2.83 Mn |
| Dec 31, 2024 | 974,000.00 |
| Sep 30, 2024 | 2.09 Mn |
| Jun 30, 2024 | 2.86 Mn |
| Mar 31, 2024 | 3.49 Mn |
| Dec 31, 2023 | 3.98 Mn |
| Sep 30, 2023 | 14.40 Mn |
| Jun 30, 2023 | 1.38 Mn |
| Mar 31, 2023 | -811,000.00 |
| Dec 31, 2022 | 4.18 Mn |
| Sep 30, 2022 | 1.38 Mn |
API Access
Surf Air Mobility Change in Accured 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=change-in-accured-expenses&ticker=SRFM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=SRFM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();