Vertical Data (VDTA) Change in Accrued Expenses (2024 - 2026)
Vertical Data (VDTA) recorded Change in Accured Expenses of -$215,815 in fiscal Q2 2026 (quarter ended Mar 31, 2026), compared with -$123,280 a year earlier.
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Analysis
Vertical Data (VDTA) Change in Accrued Expenses (2024 - 2026) Analysis & Trends
On a TTM basis, Vertical Data's Change in Accured Expenses came in at -$210,999 as of Mar 31, 2026; for FY2025 (ended Sep 30, 2025), it was $108,943, down 23.9% from FY2024.
- Across earlier fiscal years, Change in Accured Expenses came in at $143,115 in FY2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.06 Bn | 16.35 Bn | 1.60 Bn | - |
| 2 | Cognizant Technology Solutions | 29.12 Bn | 23.09 Bn | 1.91 Bn | - |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn | - |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn | - |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - | - |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn | 228.43 Mn |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn | 51.72 Mn |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn | 4.60 Mn |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn | 41.96 Mn |
| 10 | Vertical Data | 39.41 Mn | 29.71 Mn | 247,212.00 | 155,025.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 155,025.00 |
| Mar 31, 2026 | -215,815.00 |
| Dec 31, 2025 | 102,206.00 |
| Sep 30, 2025 | 244,218.00 |
| Jun 30, 2025 | -37,885.00 |
| Mar 31, 2025 | -123,280.00 |
| Dec 31, 2024 | 25,890.00 |
| Sep 30, 2024 | 97,438.00 |
API Access
Vertical Data Change in Accrued Expenses 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=change-in-accured-expenses&ticker=VDTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "VDTA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-accured-expenses&ticker=VDTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();