Next Technology Holding (NXTT) Exchange Rate Effect (2020 - 2024)
Next Technology Holding's Exchange Rate Effect was -$105.00 in Q1 2024, compared with $310,576 a year earlier.
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Analysis
Next Technology Holding (NXTT) Exchange Rate Effect (2020 - 2024) Analysis & Trends
For FY2023, Exchange Rate Effect at Next Technology Holding came in at $310,568.
- Exchange Rate Effect shows a three-year compound annual growth rate of -18.3% (FY2020 to FY2023).
- In earlier years, Exchange Rate Effect was -$2.32 million in FY2022, $68,665 in FY2021 (-87.9%) and $569,280 in FY2020.
- The Q1 2024 figure marks the lowest quarterly Exchange Rate Effect since Q4 2022.
Peer Set
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 | Next Technology Holding | 4.27 Mn | -332.47 Mn | 353,827.00 | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | -105.00 |
| Dec 31, 2023 | -8.00 |
| Mar 31, 2023 | 310,576.00 |
| Dec 31, 2022 | -843,220.00 |
| Sep 30, 2022 | -1.33 Mn |
| Jun 30, 2022 | -145,076.00 |
| Mar 31, 2022 | -4,966.00 |
| Dec 31, 2021 | 367,288.00 |
| Sep 30, 2021 | -1,138.00 |
| Jun 30, 2021 | -299,151.00 |
| Mar 31, 2021 | 1,666.00 |
| Dec 31, 2020 | 165,763.00 |
| Sep 30, 2020 | 464,137.00 |
| Jun 30, 2020 | -3,560.00 |
| Mar 31, 2020 | -57,060.00 |
API Access
Next Technology Holding 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=NXTT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "NXTT", "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=NXTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();