Endava (DAVA) Price to Earnings (2018 - 2024)
Endava's Price to Earnings came in at 31.37 for FY2025 (year ended Jun 30, 2025).
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Analysis
Endava (DAVA) Price to Earnings (2018 - 2024) Analysis & Trends
Going back to FY2018, Endava's Price to Earnings data covers 8 fiscal years.
- The FY2025 figure represents the lowest annual Price to Earnings in data going back to FY2018.
- Per Business Quant, earlier fiscal years put Price to Earnings at 81.53 in FY2024 (+115.7%), 37.79 in FY2023 (-7.4%), 40.81 in FY2022 (-73.9%) and 156.52 in FY2021 (-0.4%).
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 | Endava | 108.48 Mn | -191.48 Mn | 44.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2024 | 147.55 |
| Mar 31, 2024 | 48.03 |
| Dec 31, 2023 | 58.50 |
| Sep 30, 2023 | 42.08 |
| Jun 30, 2023 | 29.78 |
| Mar 31, 2023 | 35.79 |
| Dec 31, 2022 | 39.99 |
| Sep 30, 2022 | 38.40 |
| Jun 30, 2022 | 45.50 |
| Mar 31, 2022 | 74.68 |
| Dec 31, 2021 | 103.84 |
| Sep 30, 2021 | 96.02 |
| Jun 30, 2021 | 106.78 |
| Mar 31, 2021 | 101.79 |
| Dec 31, 2020 | 90.59 |
| Sep 30, 2020 | 201.67 |
| Jun 30, 2020 | 100.34 |
| Mar 31, 2020 | 59.86 |
| Dec 31, 2019 | 123.33 |
| Sep 30, 2019 | 44.55 |
API Access
Endava Price to Earnings 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-earnings&ticker=DAVA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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-earnings&ticker=DAVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();