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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 44.69 Bn | 44.75 Bn | 1.60 Bn | 258.00 Mn |
| 2 | Cognizant Technology Solutions | 26.45 Bn | 19.61 Bn | 1.83 Bn | 728.00 Mn |
| 3 | Td Synnex | 22.21 Bn | 16.36 Bn | 1.43 Bn | 782.54 Mn |
| 4 | Cdw | 16.70 Bn | 14.69 Bn | 1.32 Bn | 891.20 Mn |
| 5 | Cgi | 15.63 Bn | 13.41 Bn | - | - |
| 6 | Arrow Electronics | 12.33 Bn | 11.35 Bn | 1.13 Bn | 688.14 Mn |
| 7 | Avnet | 8.78 Bn | 7.96 Bn | 865.03 Mn | 547.51 Mn |
| 8 | Ingram Micro Holding | 6.70 Bn | 2.31 Bn | 958.68 Mn | 714.42 Mn |
| 9 | EPAM Systems | 5.58 Bn | 1.22 Bn | 429.57 Mn | 245.25 Mn |
| 10 | Vertical Data | 63.98 Mn | 58.29 Mn | 134,000.00 | 1.46 Mn |
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 |
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_KEY
import 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();