Endava (DAVA) Price to Book (2018 - 2026)
Endava's Price to Book came in at 1.07 for fiscal Q3 2026 (quarter ended Mar 31, 2026), up 126.0% from the prior quarter.
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Analysis
Endava (DAVA) Price to Book (2018 - 2026) Analysis & Trends
For FY2025 (ended Jun 30, 2025), Endava's Price to Book was 1.14.
- Going back by fiscal year, Price to Book was 2.13 in FY2024 (-62.9%), 5.74 in FY2023 (-20.0%), 7.17 in FY2022 (-62.1%) and 18.92 in FY2021 (+39.9%).
- The five-year range for quarterly Price to Book is 0.47 (fiscal Q2 2026) to 15.25 (fiscal Q4 2021).
- Business Quant data shows DAVA's Price to Book at 0.47 (Q2 2026), 0.67 (Q1 2026) and 1.11 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn |
| 10 | Endava | 100.05 Mn | -199.91 Mn | 44.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.07 |
| Dec 31, 2025 | 0.47 |
| Sep 30, 2025 | 0.67 |
| Jun 30, 2025 | 1.11 |
| Mar 31, 2025 | 1.40 |
| Dec 31, 2024 | 2.14 |
| Sep 30, 2024 | 1.85 |
| Jun 30, 2024 | 2.14 |
| Mar 31, 2024 | 2.75 |
| Dec 31, 2023 | 5.80 |
| Sep 30, 2023 | 4.36 |
| Jun 30, 2023 | 4.18 |
| Mar 31, 2023 | 5.78 |
| Dec 31, 2022 | 7.19 |
| Sep 30, 2022 | 8.01 |
| Jun 30, 2022 | 9.19 |
| Mar 31, 2022 | 14.01 |
| Dec 31, 2021 | 199.83 |
| Sep 30, 2021 | 16.62 |
| Jun 30, 2021 | 15.25 |
API Access
Endava 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=DAVA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-book", "ticker": "DAVA", "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=DAVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();