SunCar Technology (SDA) Exchange Rate Effect (2023 - 2026)
SunCar Technology's (SDA) quarterly Exchange Rate Effect came in at $701000.0 in Q1 2026, up 149.12% year-over-year from $281385.9 in Q1 2025, and up 87.94% quarter-over-quarter from $373000.0 in Q4 2025.
SunCar Technology (SDA) Exchange Rate Effect (2023 - 2026) Analysis & Trends
SunCar Technology has disclosed Exchange Rate Effect across 4 years of filings, most recently posting $701000.0 for Q1 2026.
- In Q1 2026, Exchange Rate Effect rose 149.12% year-over-year to $701000.0; the TTM figure through Mar 2026 stood at $3.3 million (up 284.13% YoY), while the FY2025 annual figure was $1.2 million, up 241.16% from the prior year.
- Exchange Rate Effect came in at $701000.0 for Q1 2026 at SunCar Technology, up from $373000.0 in the prior quarter.
- In the past five years, Exchange Rate Effect ranged from a high of $1.8 million in Q2 2025 to a low of -$1.4 million in Q1 2025.
- Average Exchange Rate Effect over 4 years is $181000.0, with a median of $373000.0 recorded in 2025.
- Year-over-year, Exchange Rate Effect plunged 3950.0% in 2024 and surged 492.46% in 2025.
- Over 4 years, Exchange Rate Effect stood at $30000.0 in 2023, then sank by 3950.0% to -$1.2 million in 2024, then soared by 132.29% to $373000.0 in 2025, then soared by 87.94% to $701000.0 in 2026.
- Per Business Quant data, the three most recent Exchange Rate Effect figures were $701000.0 in Q1 2026, $373000.0 in Q4 2025, and $413000.0 in Q3 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Marsh & Mclennan Companies | 81.24 Bn | 69.29 Bn | 6.04 Bn | -14.00 Mn |
| 2 | Aon | 60.67 Bn | 59.43 Bn | - | -50.00 Mn |
| 3 | Arthur J. Gallagher | 59.09 Bn | 57.73 Bn | - | -57.00 Mn |
| 4 | Willis Towers Watson | 28.02 Bn | 26.44 Bn | 2.09 Bn | -5.00 Mn |
| 5 | Brown & Brown | 20.61 Bn | 19.72 Bn | 1.41 Bn | - |
| 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 | - | -274,000.00 |
| 9 | Hagerty | 4.67 Bn | 4.81 Bn | 244.11 Mn | -522,000.00 |
| 10 | SunCar Technology | 50.02 Mn | 74.66 Mn | 128.53 Mn | 967,000.00 |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 701,000.00 |
| Dec 31, 2025 | 373,000.00 |
| Sep 30, 2025 | 413,000.00 |
| Jun 30, 2025 | 1.81 Mn |
| Mar 31, 2025 | -1.43 Mn |
| Dec 31, 2024 | -1.16 Mn |
| Sep 30, 2024 | 488,000.00 |
| Jun 30, 2024 | 305,000.00 |
| Mar 31, 2024 | -464,000.00 |
| Dec 31, 2023 | 30,000.00 |
| Sep 30, 2023 | 920,000.00 |
SunCar Technology Exchange Rate Effect 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=exchange-rate-effect&ticker=SDA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=SDA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();