Docusign (DOCU) Other Accumulated Expenses (2018 - 2019)
Docusign's Other Accumulated Expenses came in at $12.96 million for fiscal Q3 2020 (quarter ended Oct 31, 2019), down 26.3% from $17.57 million a year earlier and down 21.8% from the prior quarter.
Docusign (DOCU) Other Accumulated Expenses (2018 - 2019) Analysis & Trends
At the end of FY2019 (ended Jan 31, 2019), Docusign's Other Accumulated Expenses was $13.9 million, up 20.1% from FY2018.
- Going back by fiscal year, Other Accumulated Expenses was $11.57 million in FY2018.
- The fiscal Q3 2020 figure represents the lowest quarterly Other Accumulated Expenses since fiscal Q2 2019.
- Year-over-year, Other Accumulated Expenses increased in three of the last four quarters, with growth averaging 10.7%.
- Business Quant data shows DOCU's Other Accumulated Expenses at $16.56 million (Q2 2020), $12.97 million (Q1 2020) and $13.9 million (Q4 2019) in the three fiscal quarters before Q3 2020.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn |
| 10 | Docusign | 12.99 Bn | 9.69 Bn | 697.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Oct 31, 2019 | 12.96 Mn |
| Jul 31, 2019 | 16.56 Mn |
| Apr 30, 2019 | 12.97 Mn |
| Jan 31, 2019 | 13.90 Mn |
| Oct 31, 2018 | 17.57 Mn |
| Jul 31, 2018 | 11.76 Mn |
| Apr 30, 2018 | 12.02 Mn |
| Jan 31, 2018 | 11.57 Mn |
Docusign 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=DOCU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "DOCU", "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=DOCU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();