Taoping (TAOP) Price to Book (2011 - 2026)
Taoping's (TAOP) Price to Book came in at 0.02 for Q2 2026, down 70.0% from 0.06 a year earlier.
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Analysis
Taoping (TAOP) Price to Book (2011 - 2026) Analysis & Trends
Since Q4 2011, Taoping has reported Price to Book for 29 quarters.
- In prior years, Taoping's Price to Book was 0.17 in FY2024 (-99.6%), 48.08 in FY2023, 1.05 in FY2022 (-30.8%) and 1.52 in FY2021 (-93.8%).
- Quarterly Price to Book has run from a low of 0.02 in Q4 2025 to a high of 48.08 in Q4 2023 over five years.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 46.03 Bn | 46.09 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 27.52 Bn | 20.68 Bn | 1.83 Bn |
| 3 | Td Synnex | 21.68 Bn | 15.84 Bn | 1.43 Bn |
| 4 | Cdw | 17.02 Bn | 15.01 Bn | 1.32 Bn |
| 5 | Cgi | 15.79 Bn | 13.57 Bn | - |
| 6 | Arrow Electronics | 11.78 Bn | 10.81 Bn | 1.13 Bn |
| 7 | Avnet | 8.39 Bn | 7.57 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.54 Bn | 2.15 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.90 Bn | 1.54 Bn | 429.57 Mn |
| 10 | Taoping | 87,201.67 | -6.76 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.02 |
| Dec 31, 2025 | 0.02 |
| Jun 30, 2025 | 2.83 |
| Dec 31, 2024 | 0.17 |
| Jun 30, 2024 | 21.56 |
| Dec 31, 2023 | 48.08 |
| Jun 30, 2023 | 1.10 |
| Dec 31, 2022 | 1.05 |
| Jun 30, 2022 | 0.98 |
| Dec 31, 2021 | 1.52 |
| Dec 31, 2020 | 24.69 |
| Jun 30, 2020 | 2.59 |
| Dec 31, 2019 | 1.61 |
| Jun 30, 2019 | 1.89 |
| Dec 31, 2018 | 2.85 |
| Sep 30, 2018 | 3.18 |
| Jun 30, 2018 | 3.15 |
| Mar 31, 2018 | 4.83 |
| Dec 31, 2017 | 4.10 |
| Dec 31, 2016 | 2.26 |
API Access
Taoping Price to Book 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=price-to-book&ticker=TAOP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "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=price-to-book&ticker=TAOP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();