Vertical Data (VDTA) Operating Expenses (2024 - 2026)
Vertical Data (VDTA) recorded Operating Expenses of $1.46 million in fiscal Q2 2026 (quarter ended Mar 31, 2026), up 4.2% from $1.4 million a year earlier and up 121.6% from the prior quarter.
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Analysis
Vertical Data (VDTA) Operating Expenses (2024 - 2026) Analysis & Trends
On a TTM basis, Vertical Data's Operating Expenses came in at $4.44 million as of Mar 31, 2026; for FY2025 (ended Sep 30, 2025), it came in at $3.89 million, up 475.9% from FY2024.
- Across earlier fiscal years, Operating Expenses came in at $675,157 in FY2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.15 Bn | 43.21 Bn | 1.60 Bn | 528.00 Mn |
| 2 | Cognizant Technology Solutions | 25.69 Bn | 18.86 Bn | 1.83 Bn | 812.00 Mn |
| 3 | Td Synnex | 20.64 Bn | 14.68 Bn | 1.34 Bn | 822.22 Mn |
| 4 | Cdw | 16.25 Bn | 14.24 Bn | 1.32 Bn | 891.20 Mn |
| 5 | Cgi | 15.05 Bn | 12.83 Bn | - | 12.44 Mn |
| 6 | Arrow Electronics | 11.71 Bn | 10.74 Bn | 1.13 Bn | 747.88 Mn |
| 7 | Avnet | 8.41 Bn | 7.59 Bn | 865.03 Mn | 634.01 Mn |
| 8 | Ingram Micro Holding | 6.34 Bn | 1.95 Bn | 958.68 Mn | 722.71 Mn |
| 9 | EPAM Systems | 5.52 Bn | 1.16 Bn | 429.57 Mn | 245.25 Mn |
| 10 | Vertical Data | 70.87 Mn | 65.18 Mn | 134,000.00 | 1.46 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.46 Mn |
| Dec 31, 2025 | 660,735.00 |
| Mar 31, 2025 | 1.40 Mn |
| Dec 31, 2024 | 905,458.00 |
API Access
Vertical Data Operating 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=operating-expenses&ticker=VDTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=VDTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();