Vertical Data (VDTA) Selling, General & Administrative (2024 - 2026)
Vertical Data (VDTA) posted Selling, General & Administrative of $1.46 million for 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) Selling, General & Administrative (2024 - 2026) Analysis & Trends
For the trailing twelve months through Mar 31, 2026, Selling, General & Administrative at Vertical Data was $4.44 million; for FY2025 (ended Sep 30, 2025), it was $3.89 million, up 475.9% from FY2024.
- In prior fiscal years, Vertical Data's Selling, General & Administrative was $675,157 in FY2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.06 Bn | 16.35 Bn | 1.60 Bn | 259.00 Mn |
| 2 | Cognizant Technology Solutions | 29.12 Bn | 23.09 Bn | 1.91 Bn | 841.00 Mn |
| 3 | Cdw | 21.17 Bn | 18.07 Bn | 1.39 Bn | 895.80 Mn |
| 4 | Td Synnex | 18.55 Bn | 12.71 Bn | 1.43 Bn | 782.54 Mn |
| 5 | Cgi | 18.36 Bn | 16.16 Bn | - | - |
| 6 | Arrow Electronics | 9.82 Bn | 8.84 Bn | 1.16 Bn | 688.17 Mn |
| 7 | EPAM Systems | 8.35 Bn | 4.26 Bn | 445.94 Mn | 237.39 Mn |
| 8 | Avnet | 7.00 Bn | 6.12 Bn | 1.07 Bn | 576.30 Mn |
| 9 | ExlService Holdings | 6.69 Bn | 5.49 Bn | 241.14 Mn | 79.87 Mn |
| 10 | Vertical Data | 39.41 Mn | 29.71 Mn | 247,212.00 | 1.49 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.49 Mn |
| Mar 31, 2026 | 1.46 Mn |
| Dec 31, 2025 | 660,735.00 |
| Sep 30, 2025 | 779,539.00 |
| Jun 30, 2025 | 798,085.00 |
| Mar 31, 2025 | 1.40 Mn |
| Dec 31, 2024 | 905,458.00 |
| Jun 30, 2024 | 261,243.00 |
API Access
Vertical Data Selling, General & Administrative 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=selling-general-and-administrative&ticker=VDTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=VDTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();