SunCar Technology (SDA) Change in Accured Expenses (2023 - 2026)
SunCar Technology's (SDA) quarterly Change in Accured Expenses came in at -$3.2 million in Q1 2026, down 532.74% year-over-year from $736935.4 in Q1 2025, and down 177.05% quarter-over-quarter from $4.1 million in Q4 2025.
SunCar Technology (SDA) Change in Accured Expenses (2023 - 2026) Analysis & Trends
SunCar Technology has disclosed Change in Accured Expenses across 4 years of filings, most recently posting -$3.2 million for Q1 2026.
- In Q1 2026, Change in Accured Expenses fell 532.74% year-over-year to -$3.2 million; the TTM figure through Mar 2026 stood at $601000.0 (down 74.07% YoY), while the FY2025 annual figure was $3.3 million, up 128.67% from the prior year.
- Change in Accured Expenses came in at -$3.2 million for Q1 2026 at SunCar Technology, down from $4.1 million in the prior quarter.
- In the past five years, Change in Accured Expenses ranged from a high of $4.1 million in Q4 2025 to a low of -$3.2 million in Q1 2026.
- Average Change in Accured Expenses over 4 years is $184818.2, with a median of -$504000.0 recorded in 2025.
- Year-over-year, Change in Accured Expenses jumped 388.57% in 2025 and slumped 532.74% in 2026.
- Over 4 years, Change in Accured Expenses stood at $1.4 million in 2023, then jumped by 168.38% to $3.6 million in 2024, then increased by 13.4% to $4.1 million in 2025, then sank by 177.05% to -$3.2 million in 2026.
- Per Business Quant data, the three most recent Change in Accured Expenses figures were -$3.2 million in Q1 2026, $4.1 million in Q4 2025, and $1.2 million in Q3 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 81.24 Bn | 69.29 Bn | 6.04 Bn | 685.00 Mn |
| 2 | Aon | 60.67 Bn | 59.43 Bn | - | 51.00 Mn |
| 3 | Arthur J. Gallagher | 59.09 Bn | 57.73 Bn | - | 535.00 Mn |
| 4 | Willis Towers Watson | 28.02 Bn | 26.44 Bn | 2.09 Bn | 42.00 Mn |
| 5 | Brown & Brown | 20.61 Bn | 19.72 Bn | 1.41 Bn | -10.00 Mn |
| 6 | XChange TEC.INC | 11.95 Bn | 11.95 Bn | - | - |
| 7 | Erie Indemnity | 10.83 Bn | 10.48 Bn | - | - |
| 8 | Ryan Specialty Holdings | 9.82 Bn | 10.19 Bn | - | 173.10 Mn |
| 9 | Hagerty | 4.67 Bn | 4.81 Bn | 244.11 Mn | - |
| 10 | SunCar Technology | 50.02 Mn | 74.66 Mn | 128.53 Mn | -3.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -3.19 Mn |
| Dec 31, 2025 | 4.14 Mn |
| Sep 30, 2025 | 1.20 Mn |
| Jun 30, 2025 | -1.55 Mn |
| Mar 31, 2025 | -504,000.00 |
| Dec 31, 2024 | 3.65 Mn |
| Sep 30, 2024 | 245,000.00 |
| Jun 30, 2024 | -1.07 Mn |
| Mar 31, 2024 | -1.39 Mn |
| Dec 31, 2023 | 1.36 Mn |
| Sep 30, 2023 | -861,000.00 |
SunCar Technology 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=SDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "SDA", "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=SDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();