Docusign (DOCU) Change in Accured Expenses (2017 - 2026)
Docusign's Change in Accured Expenses was $63.87 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 71.6% from $37.21 million a year earlier.
Docusign (DOCU) Change in Accured Expenses (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Docusign's Change in Accured Expenses was $29.21 million through Jul 31, 2026, up 17.3% year-over-year; for FY2026 (ended Jan 31, 2026), it was $29.52 million, up 1.0% from FY2025.
- Change in Accured Expenses shows a five-year compound annual growth rate of -14.5% (FY2021 to FY2026).
- In earlier fiscal years, Change in Accured Expenses was $29.24 million in FY2025 (-14.0%), $33.98 million in FY2024 (+362.9%), $7.34 million in FY2023 (-32.2%) and $10.83 million in FY2022 (-83.2%).
- Quarterly Change in Accured Expenses has moved between -$88.42 million (fiscal Q1 2027) and $82.52 million (fiscal Q4 2026) over five years.
- The best year-over-year quarter for Change in Accured Expenses over five years was fiscal Q2 2024 (growth of 245.0%); the worst was fiscal Q2 2023 (a decline of 82.0%).
- Per Business Quant data, DOCU's Change in Accured Expenses in the three fiscal quarters before Q2 2027 was -$88.42 million (Q1 2027), $82.52 million (Q4 2026) and -$28.77 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 7.31 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | -1.08 Bn |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | - |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 891.00 Mn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 280.00 Mn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 200.00 Mn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 304.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -2.04 Mn |
| 10 | Docusign | 12.99 Bn | 9.69 Bn | 697.87 Mn | 63.87 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 63.87 Mn |
| Apr 30, 2026 | -88.42 Mn |
| Jan 31, 2026 | 82.52 Mn |
| Oct 31, 2025 | -28.77 Mn |
| Jul 31, 2025 | 37.21 Mn |
| Apr 30, 2025 | -61.45 Mn |
| Jan 31, 2025 | 70.36 Mn |
| Oct 31, 2024 | -21.23 Mn |
| Jul 31, 2024 | 25.15 Mn |
| Apr 30, 2024 | -45.05 Mn |
| Jan 31, 2024 | 38.35 Mn |
| Oct 31, 2023 | -14.53 Mn |
| Jul 31, 2023 | 31.75 Mn |
| Apr 30, 2023 | -21.58 Mn |
| Jan 31, 2023 | 23.17 Mn |
| Oct 31, 2022 | -1.81 Mn |
| Jul 31, 2022 | 9.20 Mn |
| Apr 30, 2022 | -23.22 Mn |
| Jan 31, 2022 | 33.61 Mn |
| Oct 31, 2021 | -39.80 Mn |
Docusign Change in Accured 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=change-in-accured-expenses&ticker=DOCU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=DOCU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();