Taoping (TAOP) Amortization - Intangibles (2016 - 2018)
Taoping's Amortization - Intangibles came in at $645.6 billion for FY2025, down 73.4% from $2.43 trillion in FY2024.
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Analysis
Taoping (TAOP) Amortization - Intangibles (2016 - 2018) Analysis & Trends
Going back to FY2013, Taoping's Amortization - Intangibles data covers 13 years.
- Amortization - Intangibles carries a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- The FY2025 figure represents the lowest annual Amortization - Intangibles since FY2021.
- Per Business Quant, earlier years put Amortization - Intangibles at $2.43 trillion in FY2024 (-41.4%), $4.15 trillion in FY2023 (+522.6%), $665.85 billion in FY2022 (+14.3%) and $582.49 billion in FY2021 (+1.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn |
| 10 | Taoping | 87,201.67 | -6.76 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 783.70 Bn |
| Sep 30, 2018 | 348,404.00 |
| Jun 30, 2018 | 148,411.00 |
| Mar 31, 2018 | 137,823.00 |
| Sep 30, 2017 | 92,963.00 |
| Jun 30, 2017 | -1.99 Bn |
| Mar 31, 2017 | 1.99 Bn |
| Sep 30, 2016 | 146,212.00 |
API Access
Taoping Amortization - Intangibles 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=amortization-intangibles&ticker=TAOP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "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=amortization-intangibles&ticker=TAOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();