SunCar Technology (SDA) Amortizatization of Intangibles (2023 - 2026)
SunCar Technology's (SDA) quarterly Amortizatization of Intangibles came in at $229000.0 in Q1 2026, down 0.87% year-over-year from $231000.0 in Q1 2025, and up 2.69% quarter-over-quarter from $223000.0 in Q4 2025.
SunCar Technology (SDA) Amortizatization of Intangibles (2023 - 2026) Analysis & Trends
SunCar Technology has disclosed Amortizatization of Intangibles across 4 years of filings, most recently posting $229000.0 for Q1 2026.
- In Q1 2026, Amortizatization of Intangibles fell 0.87% year-over-year to $229000.0; the TTM figure through Mar 2026 stood at $837000.0 (up 3.85% YoY), while the FY2025 annual figure was $839000.0, up 8.26% from the prior year.
- Amortizatization of Intangibles came in at $229000.0 for Q1 2026 at SunCar Technology, up from $223000.0 in the prior quarter.
- In the past five years, Amortizatization of Intangibles ranged from a high of $231000.0 in Q1 2025 to a low of $183000.0 in Q4 2023.
- Average Amortizatization of Intangibles over 4 years is $204272.7, with a median of $199000.0 recorded in 2025.
- Year-over-year, Amortizatization of Intangibles slipped 16.29% in 2024 and rose 15.5% in 2025.
- Over 4 years, Amortizatization of Intangibles stood at $183000.0 in 2023, then rose by 8.2% to $198000.0 in 2024, then gained by 12.63% to $223000.0 in 2025, then rose by 2.69% to $229000.0 in 2026.
- Per Business Quant data, the three most recent Amortizatization of Intangibles figures were $229000.0 in Q1 2026, $223000.0 in Q4 2025, and $186000.0 in Q3 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amortizatization of Intangibles (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 | 25.00 Mn |
| 5 | Brown & Brown | 21.46 Bn | 20.56 Bn | 1.41 Bn | 4.00 Mn |
| 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 | -19,000.00 |
| 10 | SunCar Technology | 50.02 Mn | 74.66 Mn | 128.53 Mn | 229,000.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 229,000.00 |
| Dec 31, 2025 | 223,000.00 |
| Sep 30, 2025 | 186,000.00 |
| Jun 30, 2025 | 199,000.00 |
| Mar 31, 2025 | 231,000.00 |
| Dec 31, 2024 | 198,000.00 |
| Sep 30, 2024 | 185,000.00 |
| Jun 30, 2024 | 192,000.00 |
| Mar 31, 2024 | 200,000.00 |
| Dec 31, 2023 | 183,000.00 |
| Sep 30, 2023 | 221,000.00 |
SunCar Technology Amortizatization of Intangibles 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=amortizatization-of-intangibles&ticker=SDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "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=amortizatization-of-intangibles&ticker=SDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();