SunCar Technology (SDA) Asset Writedowns and Impairment (2023 - 2026)
SunCar Technology's (SDA) quarterly Asset Writedowns and Impairment came in at -$1.9 million in Q1 2026, down 264.96% year-over-year from $1.1 million in Q1 2025, and down 29.62% quarter-over-quarter from -$1.4 million in Q4 2025.
SunCar Technology (SDA) Asset Writedowns and Impairment (2023 - 2026) Analysis & Trends
SunCar Technology has disclosed Asset Writedowns and Impairment across 4 years of filings, most recently posting -$1.9 million for Q1 2026.
- In Q1 2026, Asset Writedowns and Impairment fell 264.96% year-over-year to -$1.9 million; the TTM figure through Mar 2026 stood at $701000.0 (down 39.2% YoY), while the FY2025 annual figure was $3.7 million, up 181.2% from the prior year.
- Asset Writedowns and Impairment came in at -$1.9 million for Q1 2026 at SunCar Technology, down from -$1.4 million in the prior quarter.
- In the past five years, Asset Writedowns and Impairment ranged from a high of $5.1 million in Q2 2025 to a low of -$4.4 million in Q4 2023.
- Average Asset Writedowns and Impairment over 4 years is $247909.1, with a median of -$295000.0 recorded in 2024.
- The largest YoY upside for Asset Writedowns and Impairment was 277.7% in 2025 against a maximum downside of 288.14% in 2025.
- Over 4 years, Asset Writedowns and Impairment stood at -$4.4 million in 2023, then jumped by 76.04% to -$1.0 million in 2024, then slumped by 37.61% to -$1.4 million in 2025, then slipped by 29.62% to -$1.9 million in 2026.
- Per Business Quant data, the three most recent Asset Writedowns and Impairment figures were -$1.9 million in Q1 2026, -$1.4 million in Q4 2025, and -$1.1 million in Q3 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 83.52 Bn | 71.57 Bn | 6.04 Bn |
| 2 | Aon | 62.69 Bn | 61.45 Bn | - |
| 3 | Arthur J. Gallagher | 61.32 Bn | 59.96 Bn | - |
| 4 | Willis Towers Watson | 28.79 Bn | 27.21 Bn | 2.09 Bn |
| 5 | Brown & Brown | 21.46 Bn | 20.56 Bn | 1.41 Bn |
| 6 | XChange TEC.INC | 12.72 Bn | 12.72 Bn | - |
| 7 | Erie Indemnity | 11.04 Bn | 10.70 Bn | - |
| 8 | Ryan Specialty Holdings | 10.28 Bn | 10.64 Bn | - |
| 9 | Hagerty | 4.78 Bn | 4.92 Bn | 244.11 Mn |
| 10 | SunCar Technology | 50.02 Mn | 74.66 Mn | 128.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -1.86 Mn |
| Dec 31, 2025 | -1.44 Mn |
| Sep 30, 2025 | -1.15 Mn |
| Jun 30, 2025 | 5.15 Mn |
| Mar 31, 2025 | 1.13 Mn |
| Dec 31, 2024 | -1.05 Mn |
| Sep 30, 2024 | -295,000.00 |
| Jun 30, 2024 | 1.36 Mn |
| Mar 31, 2024 | 1.29 Mn |
| Dec 31, 2023 | -4.36 Mn |
| Sep 30, 2023 | 3.94 Mn |
SunCar Technology Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=SDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=SDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();