Vertical Data (VDTA) Accumulated Expenses (2024 - 2026)
Vertical Data's Accumulated Expenses came in at $293,474 for fiscal Q3 2026 (quarter ended Jun 30, 2026), compared with $7,840 a year earlier and up 112.0% from the prior quarter.
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Analysis
Vertical Data (VDTA) Accumulated Expenses (2024 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Vertical Data's Accumulated Expenses was $252,058, up 76.1% from FY2024.
- Going back by fiscal year, Accumulated Expenses was $143,115 in FY2024.
- The five-year range for quarterly Accumulated Expenses is $7,840 (fiscal Q3 2025) to $354,264 (fiscal Q1 2026).
- Business Quant data shows VDTA's Accumulated Expenses at $138,449 (Q2 2026), $354,264 (Q1 2026) and $252,058 (Q4 2025) in the three fiscal quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn |
| 10 | Vertical Data | 39.41 Mn | 29.71 Mn | 247,212.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 293,474.00 |
| Mar 31, 2026 | 138,449.00 |
| Dec 31, 2025 | 354,264.00 |
| Sep 30, 2025 | 252,058.00 |
| Jun 30, 2025 | 7,840.00 |
| Sep 30, 2024 | 143,115.00 |
API Access
Vertical Data Accumulated 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=accumulated-expenses&ticker=VDTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=VDTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();