Veeva Systems (VEEV) Other Accumulated Expenses (2013 - 2019)
Veeva Systems (VEEV) reported Other Accumulated Expenses of $5.28 million for fiscal Q1 2020 (quarter ended Apr 30, 2019), up 21.4% from $4.35 million a year earlier but down 18.5% from the prior quarter.
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Analysis
Veeva Systems (VEEV) Other Accumulated Expenses (2013 - 2019) Analysis & Trends
At the end of FY2019 (ended Jan 31, 2019), Veeva Systems posted Other Accumulated Expenses of $6.48 million, up 80.0% from FY2018.
- Other Accumulated Expenses has a five-year compound annual growth rate of 34.9% (FY2014 to FY2019).
- By fiscal year, Other Accumulated Expenses came in at $3.6 million in FY2018 (-13.8%), $4.17 million in FY2017 (+2.1%), $4.09 million in FY2016 (+81.9%) and $2.25 million in FY2015 (+54.8%).
- Five-year quarterly Other Accumulated Expenses spans a low of $2.09 million in fiscal Q1 2017 and a high of $6.48 million in fiscal Q4 2019.
- Year over year, Other Accumulated Expenses gained in four of the last eight quarters, with growth averaging 9.8%.
- The high point for year-over-year Other Accumulated Expenses in five years was fiscal Q1 2018 (growth of 164.4%); the low point was fiscal Q1 2017 (a decline of 44.5%).
- Per Business Quant data, the three fiscal quarters before Q1 2020 came in at $6.48 million (Q4 2019), $3.49 million (Q3 2019) and $3.57 million (Q2 2019).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 2 | Veeva Systems | 50.88 Bn | 23.13 Bn | 695.95 Mn |
| 3 | Samsara | 24.90 Bn | 21.68 Bn | 392.58 Mn |
| 4 | Ptc | 22.15 Bn | 20.97 Bn | 490.47 Mn |
| 5 | Toast | 18.57 Bn | 11.24 Bn | 516.00 Mn |
| 6 | Trimble | 14.20 Bn | 13.26 Bn | 674.90 Mn |
| 7 | Manhattan Associates | 13.35 Bn | 12.35 Bn | 168.33 Mn |
| 8 | Costar | 12.94 Bn | 6.89 Bn | 728.00 Mn |
| 9 | Bentley Systems | 11.31 Bn | 10.77 Bn | 336.74 Mn |
| 10 | Procore Technologies | 8.93 Bn | 6.23 Bn | 299.80 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Apr 30, 2019 | 5.28 Mn |
| Jan 31, 2019 | 6.48 Mn |
| Oct 31, 2018 | 3.49 Mn |
| Jul 31, 2018 | 3.57 Mn |
| Apr 30, 2018 | 4.35 Mn |
| Jan 31, 2018 | 3.60 Mn |
| Oct 31, 2017 | 4.82 Mn |
| Jul 31, 2017 | 4.98 Mn |
| Apr 30, 2017 | 5.52 Mn |
| Jan 31, 2017 | 4.17 Mn |
| Oct 31, 2016 | 3.92 Mn |
| Jul 31, 2016 | 3.44 Mn |
| Apr 30, 2016 | 2.09 Mn |
| Jan 31, 2016 | 4.09 Mn |
| Oct 31, 2015 | 3.96 Mn |
| Jul 31, 2015 | 3.58 Mn |
| Apr 30, 2015 | 3.76 Mn |
| Jan 31, 2015 | 2.25 Mn |
| Jan 31, 2014 | 1.45 Mn |
| Jan 31, 2013 | 1.60 Mn |
API Access
Veeva Systems Other Accumulated Expenses 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=other-accumulated-expenses&ticker=VEEV&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "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=other-accumulated-expenses&ticker=VEEV&period=max&api_key=YOUR_API_KEY");
const data = await res.json();