Vertical Data (VDTA) Depreciation & Amortization (CF) (2024 - 2026)
Vertical Data's Depreciation & Amortization (CF) came in at $91.00 for fiscal Q2 2026 (quarter ended Mar 31, 2026), up 9.6% from $83.00 a year earlier and up 1.1% from the prior quarter.
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Analysis
Vertical Data (VDTA) Depreciation & Amortization (CF) (2024 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Vertical Data reported Depreciation & Amortization (CF) of $331.00; for FY2025 (ended Sep 30, 2025), it came in at $331.00.
- Going back by fiscal year, Depreciation & Amortization (CF) was $23.00 in FY2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 43.52 Bn | 43.57 Bn | 1.60 Bn | 131.00 Mn |
| 2 | Cognizant Technology Solutions | 25.96 Bn | 19.13 Bn | 1.83 Bn | 143.00 Mn |
| 3 | Td Synnex | 20.53 Bn | 14.56 Bn | 1.34 Bn | 105.28 Mn |
| 4 | Cdw | 16.06 Bn | 14.05 Bn | 1.32 Bn | 75.10 Mn |
| 5 | Cgi | 15.14 Bn | 12.92 Bn | - | 110.88 Mn |
| 6 | Arrow Electronics | 11.55 Bn | 10.58 Bn | 1.13 Bn | 35.60 Mn |
| 7 | Avnet | 8.20 Bn | 7.38 Bn | 865.03 Mn | 22.57 Mn |
| 8 | Ingram Micro Holding | 6.32 Bn | 1.92 Bn | 958.68 Mn | 49.28 Mn |
| 9 | EPAM Systems | 5.59 Bn | 1.23 Bn | 429.57 Mn | 32.10 Mn |
| 10 | Vertical Data | 66.39 Mn | 60.71 Mn | 134,000.00 | 91.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 91.00 |
| Dec 31, 2025 | 90.00 |
| Mar 31, 2025 | 83.00 |
| Dec 31, 2024 | 67.00 |
API Access
Vertical Data Depreciation & Amortization (CF) 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=depreciation-and-amortization-cf&ticker=VDTA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-cf", "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=depreciation-and-amortization-cf&ticker=VDTA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();