Taoping (TAOP) Debt Ratio (2011 - 2025)
Taoping's Debt Ratio was 0.25 in Q4 2025, up 9.9% from 0.22 a year earlier.
Analysis
Taoping (TAOP) Debt Ratio (2011 - 2025) Analysis & Trends
From Q4 2011 onward, Taoping has reported Debt Ratio for 29 quarters.
- In earlier years, Debt Ratio was 0.22 in FY2024 (+14.9%), 0.20 in FY2023 (-20.7%), 0.25 in FY2022 (-100.0%) and 165243.22 in FY2021.
- Quarterly Debt Ratio has moved between 0.18 (Q2 2022) and 165243.22 (Q4 2021) over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Debt Ratio (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn | 0.14 |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn | 0.07 |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn | 0.12 |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn | 0.34 |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn | 0.06 |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn | 0.21 |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn | 0.18 |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn | 0.01 |
| 10 | Taoping | 110,597.24 | -4.13 Mn | - | 0.25 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 0.25 |
| Jun 30, 2025 | 6.46 |
| Dec 31, 2024 | 0.22 |
| Jun 30, 2024 | 0.24 |
| Dec 31, 2023 | 0.20 |
| Jun 30, 2023 | 0.21 |
| Dec 31, 2022 | 0.25 |
| Jun 30, 2022 | 0.18 |
| Dec 31, 2021 | 165,243.22 |
| Dec 31, 2020 | 0.23 |
| Jun 30, 2020 | 149,604.42 |
| Dec 31, 2019 | 162,121.76 |
| Jun 30, 2019 | 0.17 |
| Dec 31, 2018 | 0.15 |
| Sep 30, 2018 | 0.19 |
| Jun 30, 2018 | 0.19 |
| Mar 31, 2018 | 0.20 |
| Dec 31, 2017 | 0.21 |
| Dec 31, 2016 | 0.23 |
| Jun 30, 2016 | 0.15 |
API Access
Taoping Debt Ratio 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=debt-ratio&ticker=TAOP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=TAOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();