Vertical Data (VDTA) Net Income (2024 - 2026)
Vertical Data's Net Income came in at -$1.33 million for fiscal Q2 2026 (quarter ended Mar 31, 2026), compared with -$1.4 million a year earlier.
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Analysis
Vertical Data (VDTA) Net Income (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Vertical Data reported Net Income of -$3.56 million; for FY2025 (ended Sep 30, 2025), it came in at -$3.82 million.
- Going back by fiscal year, Net Income was -$350,599 in FY2024.
- The five-year range for quarterly Net Income is -$1.4 million (fiscal Q2 2025) to -$652,635 (fiscal Q1 2026).
- Business Quant data shows VDTA's Net Income at -$652,635 (Q1 2026), -$779,539 (Q4 2025) and -$798,085 (Q3 2025) in the three fiscal quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Income (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 52.40 Bn | 38.90 Bn | 1.60 Bn | 820.00 Mn |
| 2 | Cognizant Technology Solutions | 32.46 Bn | 25.62 Bn | 1.83 Bn | 636.00 Mn |
| 3 | Wipro | 22.47 Bn | 17.61 Bn | 745.00 Mn | 334.76 Mn |
| 4 | Cdw | 20.15 Bn | 18.14 Bn | 1.32 Bn | 274.40 Mn |
| 5 | Td Synnex | 19.94 Bn | 14.10 Bn | 1.43 Bn | 416.24 Mn |
| 6 | Cgi | 17.74 Bn | 15.53 Bn | - | 336.31 Mn |
| 7 | Arrow Electronics | 11.21 Bn | 10.16 Bn | 1.13 Bn | 272.84 Mn |
| 8 | Avnet | 7.65 Bn | 6.83 Bn | 865.03 Mn | 126.58 Mn |
| 9 | EPAM Systems | 7.01 Bn | 2.65 Bn | 429.57 Mn | 102.98 Mn |
| 10 | Vertical Data | 49.36 Mn | 49.36 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | -1.33 Mn |
| Dec 31, 2025 | -652,635.00 |
| Sep 30, 2025 | -779,539.00 |
| Jun 30, 2025 | -798,085.00 |
| Mar 31, 2025 | -1.40 Mn |
| Dec 31, 2024 | -837,458.00 |
API Access
Vertical Data Net Income 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=net-income&ticker=VDTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-income", "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=net-income&ticker=VDTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();