Veeva Systems (VEEV) Other Accumulated Expenses (2013 - 2019)
Veeva Systems (VEEV) posted Other Accumulated Expenses of $5.3 million for Q2 2019, down 18.48% on a QoQ basis from $6.5 million in Q1 2019, and up 21.37% year-over-year from $4.4 million in Q2 2018.
Veeva Systems (VEEV) Other Accumulated Expenses (2013 - 2019) Analysis & Trends
Veeva Systems has reported Other Accumulated Expenses for 7 years, with the latest figure at $5.3 million in Q2 2019.
- On a quarterly basis, Other Accumulated Expenses rose 21.37% year-over-year to $5.3 million in Q2 2019; TTM through Apr 2019 was $5.3 million, a 21.37% increase from a year earlier, with the FY2019 full-year figure at $6.5 million, up 79.97% from the prior year.
- Other Accumulated Expenses was $5.3 million for Q2 2019 at Veeva Systems, down from $6.5 million in the prior quarter.
- The five-year high for Other Accumulated Expenses was $6.5 million in Q1 2019, with the low at $2.1 million in Q2 2016.
- Average Other Accumulated Expenses over 5 years is $4.1 million, with a median of $3.9 million recorded in 2015.
- The sharpest annual moves came in 2015 and 2017: Other Accumulated Expenses plunged 53.84% in 2015, then soared 164.38% in 2017.
- Over 5 years, Other Accumulated Expenses stood at $4.0 million in 2015, then declined by 0.88% to $3.9 million in 2016, then increased by 22.89% to $4.8 million in 2017, then fell by 27.53% to $3.5 million in 2018, then jumped by 51.17% to $5.3 million in 2019.
- The last three Other Accumulated Expenses figures came in at $5.3 million (Q2 2019), $6.5 million (Q1 2019), and $3.5 million (Q4 2018), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Veeva Systems | 43.86 Bn | 36.61 Bn | 695.95 Mn |
| 2 | Samsara | 22.87 Bn | 22.04 Bn | 392.58 Mn |
| 3 | Toast | 17.21 Bn | 15.49 Bn | 516.00 Mn |
| 4 | Ptc | 15.54 Bn | 15.19 Bn | 490.47 Mn |
| 5 | Trimble | 13.83 Bn | 13.62 Bn | 674.90 Mn |
| 6 | Duolingo | 13.65 Bn | 12.34 Bn | 216.74 Mn |
| 7 | Manhattan Associates | 12.26 Bn | 12.08 Bn | 168.33 Mn |
| 8 | Costar | 11.45 Bn | 10.20 Bn | 728.00 Mn |
| 9 | Bentley Systems | 9.87 Bn | 9.73 Bn | 336.74 Mn |
| 10 | Procore Technologies | 7.76 Bn | 7.10 Bn | 299.80 Mn |
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 | 4.87 Mn |
| Jan 31, 2013 | 1.60 Mn |
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_KEY
import 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();