SunCar Technology (SDA) Operating Expenses (2023 - 2026)
SunCar Technology's (SDA) quarterly Operating Expenses came in at -$128.2 million in Q1 2026, down 21.41% year-over-year from -$163.1 million in Q1 2025, and up 14.01% quarter-over-quarter from -$149.0 million in Q4 2025.
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Analysis
SunCar Technology (SDA) Operating Expenses (2023 - 2026) Analysis & Trends
SunCar Technology has disclosed Operating Expenses across 4 years of filings, most recently posting -$128.2 million for Q1 2026.
- In Q1 2026, Operating Expenses fell 21.41% year-over-year to -$128.2 million; the TTM figure through Mar 2026 stood at -$508.0 million (up 1.49% YoY), while the FY2025 annual figure was -$485.4 million, up 2.97% from the prior year.
- Operating Expenses came in at -$128.2 million for Q1 2026 at SunCar Technology, up from -$149.0 million in the prior quarter.
- In the past five years, Operating Expenses ranged from a high of -$90.1 million in Q1 2024 to a low of -$171.6 million in Q2 2024.
- Average Operating Expenses over 4 years is -$121.3 million, with a median of -$117.9 million recorded in 2025.
- Year-over-year, Operating Expenses soared 31.25% in 2025 and decreased 21.41% in 2026.
- Over 4 years, Operating Expenses stood at -$125.2 million in 2023, then retreated by 3.19% to -$129.2 million in 2024, then decreased by 15.36% to -$149.0 million in 2025, then grew by 14.01% to -$128.2 million in 2026.
- Per Business Quant data, the three most recent Operating Expenses figures were -$128.2 million in Q1 2026, -$149.0 million in Q4 2025, and -$112.9 million in Q3 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 83.52 Bn | 71.57 Bn | 6.04 Bn | 5.51 Bn |
| 2 | Aon | 62.69 Bn | 61.45 Bn | - | 3.33 Bn |
| 3 | Arthur J. Gallagher | 61.32 Bn | 59.96 Bn | - | 3.59 Bn |
| 4 | Willis Towers Watson | 28.79 Bn | 27.21 Bn | 2.09 Bn | 2.10 Bn |
| 5 | Brown & Brown | 21.46 Bn | 20.56 Bn | 1.41 Bn | 1.29 Bn |
| 6 | XChange TEC.INC | 12.72 Bn | 12.72 Bn | - | - |
| 7 | Erie Indemnity | 11.04 Bn | 10.70 Bn | - | 885.67 Mn |
| 8 | Ryan Specialty Holdings | 10.28 Bn | 10.64 Bn | - | 736.33 Mn |
| 9 | Hagerty | 4.78 Bn | 4.92 Bn | 244.11 Mn | 352.59 Mn |
| 10 | SunCar Technology | 50.02 Mn | 74.66 Mn | 128.53 Mn | -128.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -128.16 Mn |
| Dec 31, 2025 | -149.03 Mn |
| Sep 30, 2025 | -112.88 Mn |
| Jun 30, 2025 | -117.95 Mn |
| Mar 31, 2025 | -105.55 Mn |
| Dec 31, 2024 | -129.19 Mn |
| Sep 30, 2024 | -109.38 Mn |
| Jun 30, 2024 | -171.57 Mn |
| Mar 31, 2024 | -90.13 Mn |
| Dec 31, 2023 | -125.19 Mn |
| Sep 30, 2023 | -95.77 Mn |
API Access
SunCar Technology Operating 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=operating-expenses&ticker=SDA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=SDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();