Taoping (TAOP) Selling, General & Administrative (2011 - 2018)
Taoping (TAOP) recorded Selling, General & Administrative of $9.83 trillion in FY2025, up 58.3% from $6.21 trillion in FY2024.
Analysis
Taoping (TAOP) Selling, General & Administrative (2011 - 2018) Analysis & Trends
Starting with FY2010, Taoping's Selling, General & Administrative history includes 16 years.
- Annual Selling, General & Administrative has a five-year compound annual growth rate of -10.1% (FY2020 to FY2025).
- The FY2025 figure is the highest annual Selling, General & Administrative since FY2021.
- Per Business Quant data, TAOP's Selling, General & Administrative was $6.21 trillion in FY2024 (+10.9%), $5.6 trillion in FY2023 (-8.9%), $6.15 trillion in FY2022 (-47.2%) and $11.64 trillion in FY2021 (-30.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | 258.00 Mn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | 728.00 Mn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | 782.54 Mn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | 891.20 Mn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | - |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 688.14 Mn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 547.51 Mn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 714.42 Mn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | 245.25 Mn |
| 10 | Taoping | 87,201.67 | -6.76 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 4,299.82 Bn |
| Sep 30, 2018 | -1,780.69 Bn |
| Jun 30, 2018 | 1,780.69 Bn |
| Mar 31, 2018 | 476,663.00 |
| Sep 30, 2017 | -1,269.97 Bn |
| Jun 30, 2017 | 1,269.97 Bn |
| Mar 31, 2017 | 801,613.00 |
| Sep 30, 2016 | 2.95 Mn |
| Dec 31, 2012 | 30.48 Mn |
| Sep 30, 2012 | -19.60 Mn |
| Dec 31, 2011 | 11.72 Mn |
API Access
Taoping Selling, General & Administrative 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=selling-general-and-administrative&ticker=TAOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=TAOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();