Next Technology Holding (NXTT) Depreciation and Depletion (2021 - 2023)
Next Technology Holding (NXTT) posted Depreciation and Depletion of $189,726 for Q2 2023, compared with $12,159 a year earlier and up 48.2% from the prior quarter.
Next Technology Holding (NXTT) Depreciation and Depletion (2021 - 2023) Analysis & Trends
For the trailing twelve months through Jun 30, 2023, Depreciation and Depletion at Next Technology Holding was $556,021; for FY2022, it was $263,260.
- In prior years, Next Technology Holding's Depreciation and Depletion was $23,353 in FY2021.
- Quarterly Depreciation and Depletion has run from a low of $11,689 in Q3 2022 to a high of $226,619 in Q4 2022 over five years.
- According to Business Quant data, Depreciation and Depletion for the three prior quarters was $127,987 (Q1 2023), $226,619 (Q4 2022) and $11,689 (Q3 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | - |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | - |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | - |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | - |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | - |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | - |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 27.62 Mn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | - |
| 10 | Next Technology Holding | 4.57 Mn | -332.17 Mn | 353,827.00 | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 189,726.00 |
| Mar 31, 2023 | 127,987.00 |
| Dec 31, 2022 | 226,619.00 |
| Sep 30, 2022 | 11,689.00 |
| Jun 30, 2022 | 12,159.00 |
| Mar 31, 2022 | 12,793.00 |
| Dec 31, 2021 | 23,353.00 |
Next Technology Holding Depreciation and Depletion 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=depreciation-and-depletion&ticker=NXTT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=NXTT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();