Endava (DAVA) Restructuring Costs (2022 - 2026)
Endava (DAVA) recorded Restructuring Costs of $3.4 million in fiscal Q3 2026 (quarter ended Mar 31, 2026), down 37.5% from the prior quarter.
Endava (DAVA) Restructuring Costs (2022 - 2026) Analysis & Trends
On a TTM basis, Endava's Restructuring Costs came in at $13.53 million as of Mar 31, 2026; for FY2025 (ended Jun 30, 2025), it was $8.46 million.
- Annual Restructuring Costs has a three-year compound annual growth rate of 86.3% (FY2022 to FY2025).
- Across earlier fiscal years, Restructuring Costs came in at -$71.32 million in FY2024, -$26.56 million in FY2023 and $1.31 million in FY2022.
- Quarterly Restructuring Costs has ranged from -$61.3 million in fiscal Q4 2024 to $5.44 million in fiscal Q2 2026 over the past five years.
- Per Business Quant, the preceding three fiscal quarters came in at $5.44 million (Q2 2026), $3.29 million (Q1 2026) and $1.39 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Infosys | 42.66 Bn | 42.72 Bn | 1.60 Bn |
| 2 | Cognizant Technology Solutions | 25.65 Bn | 18.82 Bn | 1.83 Bn |
| 3 | Td Synnex | 20.51 Bn | 14.54 Bn | 1.34 Bn |
| 4 | Cdw | 16.33 Bn | 14.32 Bn | 1.32 Bn |
| 5 | Cgi | 15.07 Bn | 12.85 Bn | - |
| 6 | Arrow Electronics | 11.72 Bn | 10.75 Bn | 1.13 Bn |
| 7 | Avnet | 8.33 Bn | 7.51 Bn | 865.03 Mn |
| 8 | Ingram Micro Holding | 6.23 Bn | 1.84 Bn | 958.68 Mn |
| 9 | EPAM Systems | 5.55 Bn | 1.19 Bn | 429.57 Mn |
| 10 | Endava | 95.56 Mn | -204.41 Mn | 44.77 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 3.40 Mn |
| Dec 31, 2025 | 5.44 Mn |
| Sep 30, 2025 | 3.29 Mn |
| Jun 30, 2025 | 1.39 Mn |
| Dec 31, 2024 | 7.05 Mn |
| Jun 30, 2024 | -61.30 Mn |
| Mar 31, 2024 | 9.21 Mn |
| Sep 30, 2023 | -8.46 Mn |
| Jun 30, 2023 | -26.50 Mn |
| Mar 31, 2023 | 48.62 |
| Dec 31, 2022 | 1.31 Mn |
Endava Restructuring Costs 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=restructuring-costs&ticker=DAVA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=DAVA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();