Taoping (TAOP) Receivables (2011 - 2025)
Taoping (TAOP) posted Receivables of $10.08 million for Q4 2025, up 23.5% from $8.16 million a year earlier.
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Analysis
Taoping (TAOP) Receivables (2011 - 2025) Analysis & Trends
Since Q4 2011, Taoping has reported Receivables for 30 quarters.
- Annual Receivables shows a five-year compound annual growth rate of -9.1% (FY2020 to FY2025).
- In prior years, Taoping's Receivables was $8.16 million in FY2024 (-4.0%), $8.5 million in FY2023 (-64.3%), $23.82 million in FY2022 (-100.0%) and $7.11 trillion in FY2021.
- The Q4 2025 figure stands as the highest quarterly Receivables since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 5.33 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 4.78 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 13.00 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 10.28 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | 1.14 Bn |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 28.01 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 6.88 Bn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 10.68 Bn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 1.27 Bn |
| 10 | Taoping | 110,597.24 | -4.13 Mn | - | 10.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 10.08 Mn |
| Jun 30, 2025 | 524,734.00 |
| Dec 31, 2024 | 8.16 Mn |
| Jun 30, 2024 | 7.71 Mn |
| Dec 31, 2023 | -73,487.00 |
| Jun 30, 2023 | 6.36 Mn |
| Dec 31, 2022 | 18.40 Mn |
| Jun 30, 2022 | 22.90 Mn |
| Dec 31, 2021 | 5.93 Mn |
| Jun 9, 2021 | 3.67 Mn |
| Dec 31, 2020 | 16.28 Mn |
| Jun 30, 2020 | 14.61 Mn |
| Dec 31, 2019 | 4.06 Mn |
| Jun 30, 2019 | 20.39 Mn |
| Dec 31, 2018 | 2.86 Mn |
| Sep 30, 2018 | 15.54 Mn |
| Jun 30, 2018 | 14.31 Mn |
| Mar 31, 2018 | 11.57 Mn |
| Dec 31, 2017 | 7.80 Mn |
| Dec 31, 2016 | 2.26 Mn |
API Access
Taoping Receivables 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=receivables&ticker=TAOP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=TAOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();