Veeva Systems (VEEV) Depreciation and Depletion (2012 - 2024)
Veeva Systems' Depreciation and Depletion came in at $2 million for fiscal Q4 2024 (quarter ended Jan 31, 2024), up 100.0% from $1 million a year earlier and up 100.0% from the prior quarter.
Veeva Systems (VEEV) Depreciation and Depletion (2012 - 2024) Analysis & Trends
For FY2024 (ended Jan 31, 2024), Veeva Systems' Depreciation and Depletion was $6 million, unchanged from FY2023.
- Depreciation and Depletion carries a five-year compound annual growth rate of 0.0% (FY2019 to FY2024).
- Going back by fiscal year, Depreciation and Depletion was $6 million in FY2023 (-14.3%), $7 million in FY2022 (-22.2%), $9 million in FY2021 (unchanged) and $9 million in FY2020 (+50.0%).
- The five-year range for quarterly Depreciation and Depletion is $1 million (fiscal Q3 2023) to $3 million (fiscal Q4 2020).
- Year-over-year, Depreciation and Depletion increased in 1 of the last eight quarters, with an average decline of 12.5%.
- The fastest year-over-year change in Depreciation and Depletion over five years came in fiscal Q4 2020 (growth of 130.8%), and the weakest in fiscal Q3 2023 (a decline of 50.0%).
- Business Quant data shows VEEV's Depreciation and Depletion at $1 million (Q3 2024), $1 million (Q2 2024) and $1 million (Q1 2024) in the three fiscal quarters before Q4 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | - |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | - |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | - |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 1.36 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | - |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | - |
| 10 | Bentley Systems | 9.44 Bn | 8.90 Bn | 336.74 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2024 | 2.00 Mn |
| Oct 31, 2023 | 1.00 Mn |
| Jul 31, 2023 | 1.00 Mn |
| Apr 30, 2023 | 1.00 Mn |
| Jan 31, 2023 | 1.00 Mn |
| Oct 31, 2022 | 1.00 Mn |
| Jul 31, 2022 | 2.00 Mn |
| Apr 30, 2022 | 2.00 Mn |
| Jan 31, 2022 | 2.00 Mn |
| Oct 31, 2021 | 2.00 Mn |
| Jul 31, 2021 | 2.00 Mn |
| Apr 30, 2021 | 2.00 Mn |
| Jan 31, 2021 | 2.00 Mn |
| Oct 31, 2020 | 2.00 Mn |
| Jul 31, 2020 | 2.00 Mn |
| Apr 30, 2020 | 2.00 Mn |
| Jan 31, 2020 | 3.00 Mn |
| Oct 31, 2019 | 2.00 Mn |
| Jul 31, 2019 | 2.00 Mn |
| Apr 30, 2019 | 2.00 Mn |
Veeva Systems Depreciation and Depletion 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-depletion&ticker=VEEV&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "ticker": "VEEV", "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-depletion&ticker=VEEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();