Datasea Intelligent Technology (DTSS) Price to Book (2018 - 2026)
Datasea Intelligent Technology's (DTSS) Price to Book came in at 1.89 for fiscal Q2 2026 (quarter ended Dec 31, 2025), down 62.6% from 5.07 a year earlier and down 65.7% from the prior quarter.
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Analysis
Datasea Intelligent Technology (DTSS) Price to Book (2018 - 2026) Analysis & Trends
For FY2025 (ended Jun 30, 2025), Datasea Intelligent Technology's Price to Book stood at 4.34.
- In prior fiscal years, Datasea Intelligent Technology's Price to Book was 16.16 in FY2022 (-90.4%) and 167.96 in FY2021.
- The fiscal Q2 2026 figure stands as the lowest quarterly Price to Book since fiscal Q1 2024.
- On a year-over-year basis, Price to Book increased in three of the last five quarters, with growth averaging 23.2%.
- The strongest year-over-year quarter for Price to Book in the past five years was fiscal Q1 2023, with growth of 287.6%; the weakest was fiscal Q1 2024, with a decline of 95.2%.
- According to Business Quant data, Price to Book for the three prior fiscal quarters was 5.52 (Q1 2026), 4.34 (Q4 2025) and 5.84 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn |
| 10 | Datasea Intelligent Technology | 13.66 Mn | -441.93 Bn | 1.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.00 |
| Dec 31, 2025 | 1.89 |
| Sep 30, 2025 | 5.52 |
| Jun 30, 2025 | 4.34 |
| Mar 31, 2025 | 5.84 |
| Dec 31, 2024 | 5.07 |
| Sep 30, 2024 | 2.46 |
| Mar 31, 2024 | 18.56 |
| Dec 31, 2023 | 3.44 |
| Sep 30, 2023 | 1.40 |
| Sep 30, 2022 | 29.11 |
| Jun 30, 2022 | 16.16 |
| Mar 31, 2022 | 14.98 |
| Dec 31, 2021 | 6.79 |
| Sep 30, 2021 | 7.51 |
| Jun 30, 2021 | 167.96 |
| Mar 31, 2021 | 36.51 |
| Dec 31, 2020 | 13.87 |
| Sep 30, 2020 | 21.46 |
| Jun 30, 2020 | 11.22 |
API Access
Datasea Intelligent Technology 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=DTSS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "DTSS", "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=DTSS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();