Endava (DAVA) Debt Ratio (2017 - 2026)
Endava's (DAVA) Debt Ratio came in at 0.36 for fiscal Q3 2026 (quarter ended Mar 31, 2026), up 66.4% from the prior quarter.
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Analysis
Endava (DAVA) Debt Ratio (2017 - 2026) Analysis & Trends
For FY2025 (ended Jun 30, 2025), Endava's Debt Ratio stood at 0.19.
- In prior fiscal years, Endava's Debt Ratio was 0.13 in FY2024.
- The fiscal Q3 2026 figure stands as the highest quarterly Debt Ratio in data going back to fiscal Q4 2017.
- According to Business Quant data, Debt Ratio for the three prior fiscal quarters was 0.22 (Q2 2026), 0.21 (Q1 2026) and 0.19 (Q4 2025).
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 | Endava | 95.56 Mn | -204.41 Mn | 44.77 Mn | 0.36 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 0.36 |
| Dec 31, 2025 | 0.22 |
| Sep 30, 2025 | 0.21 |
| Jun 30, 2025 | 0.19 |
| Mar 31, 2025 | 0.14 |
| Dec 31, 2024 | 0.13 |
| Sep 30, 2024 | 0.14 |
| Jun 30, 2024 | 0.14 |
| Mar 31, 2020 | 0.00 |
| Dec 31, 2019 | 0.00 |
| Sep 30, 2019 | 0.00 |
| Jun 30, 2019 | 0.00 |
| Mar 31, 2019 | 0.00 |
| Dec 31, 2018 | 0.00 |
| Sep 30, 2018 | 0.00 |
| Jun 30, 2018 | 0.13 |
| Mar 31, 2018 | 0.17 |
| Dec 31, 2017 | 0.25 |
| Sep 30, 2017 | 0.20 |
| Jun 30, 2017 | 0.28 |
API Access
Endava 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=DAVA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "debt-ratio", "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=debt-ratio&ticker=DAVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();