Datasea Intelligent Technology (DTSS) Exchange Rate Effect (2015 - 2025)
Datasea Intelligent Technology's Exchange Rate Effect was $5,881 in fiscal Q2 2026 (quarter ended Dec 31, 2025), compared with -$72,717 a year earlier and up 41.9% from the prior quarter.
Datasea Intelligent Technology (DTSS) Exchange Rate Effect (2015 - 2025) Analysis & Trends
On a trailing twelve-month basis, Datasea Intelligent Technology's Exchange Rate Effect was -$8,732 through Dec 31, 2025; for FY2025 (ended Jun 30, 2025), it came in at -$45,948.
- In earlier fiscal years, Exchange Rate Effect was -$111,203 in FY2024, -$4,484 in FY2023, $8,373 in FY2022 (-83.9%) and $51,927 in FY2021.
- The fiscal Q2 2026 figure marks the highest quarterly Exchange Rate Effect since fiscal Q1 2025.
- Per Business Quant data, DTSS's Exchange Rate Effect in the three fiscal quarters before Q2 2026 was $4,145 (Q1 2026), -$7,205 (Q4 2025) and -$11,553 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 10.00 Mn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | -1.00 Mn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | -9.41 Mn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | -800,000.00 |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 12.58 Mn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | -6.98 Mn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 1.70 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 11.21 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 3.75 Mn |
| 10 | Datasea Intelligent Technology | 8.93 Mn | 6.01 Mn | 1.19 Mn | 5,881.00 |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 5,881.00 |
| Sep 30, 2025 | 4,145.00 |
| Jun 30, 2025 | -7,205.00 |
| Mar 31, 2025 | -11,553.00 |
| Dec 31, 2024 | -72,717.00 |
| Sep 30, 2024 | 45,527.00 |
| Jun 30, 2024 | 1,864.00 |
| Mar 31, 2024 | 5,627.00 |
| Dec 31, 2023 | 17,963.00 |
| Sep 30, 2023 | -136,657.00 |
| Jun 30, 2023 | -580.00 |
| Mar 31, 2023 | 697.00 |
| Dec 31, 2022 | 1,302.00 |
| Sep 30, 2022 | -5,903.00 |
| Jun 30, 2022 | -79,750.00 |
| Mar 31, 2022 | 25,699.00 |
| Dec 31, 2021 | 70,072.00 |
| Sep 30, 2021 | -7,648.00 |
| Jun 30, 2021 | 15,567.00 |
| Mar 31, 2021 | 12,911.00 |
Datasea Intelligent 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=DTSS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "DTSS", "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=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();