Taoping (TAOP) Depreciation and Depletion (2012 - 2018)
Taoping's Depreciation and Depletion came in at $1.65 million for FY2025, down 17.9% from $2.01 million in FY2024.
Analysis
Taoping (TAOP) Depreciation and Depletion (2012 - 2018) Analysis & Trends
Going back to FY2010, Taoping's Depreciation and Depletion data covers 16 years.
- Depreciation and Depletion has declined in each of the last three years, with a five-year compound annual growth rate of -12.5% (FY2020 to FY2025).
- The FY2025 figure represents the lowest annual Depreciation and Depletion in data going back to FY2010.
- Per Business Quant, earlier years put Depreciation and Depletion at $2.01 million in FY2024 (-33.0%), $2.99 million in FY2023 (-58.6%), $7.24 million in FY2022 (+95.3%) and $3.7 million in FY2021 (+15.5%).
Peer Set
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 | Taoping | 87,201.67 | -6.76 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 688,874.00 |
| Sep 30, 2018 | 743,372.00 |
| Jun 30, 2018 | 841,173.00 |
| Mar 31, 2018 | 666,968.00 |
| Dec 31, 2017 | 598,018.00 |
| Sep 30, 2017 | 517,710.00 |
| Jun 30, 2017 | 467,541.00 |
| Mar 31, 2017 | 453,169.00 |
| Dec 31, 2016 | 454,475.00 |
| Sep 30, 2016 | 471,072.00 |
| Dec 31, 2012 | 2.21 Mn |
| Sep 30, 2012 | 3.42 Mn |
API Access
Taoping 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=TAOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "TAOP", "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=TAOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();