Dave (DAVEW) Other Accumulated Expenses (2021 - 2026)
Dave (DAVEW) posted Other Accumulated Expenses of $18.82 million for Q3 2026, up 277.2% from $4.99 million a year earlier and up 36.0% from the prior quarter.
Dave (DAVEW) Other Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Dave's Other Accumulated Expenses came in at $8.04 million, up 55.6% from FY2024.
- Annual Other Accumulated Expenses shows a four-year compound annual growth rate of 51.6% (FY2021 to FY2025).
- In prior years, Dave's Other Accumulated Expenses was $5.17 million in FY2024 (+33.7%), $3.87 million in FY2023 (-10.3%), $4.31 million in FY2022 (+183.2%) and $1.52 million in FY2021.
- The Q3 2026 figure stands as the highest quarterly Other Accumulated Expenses in data going back to Q4 2021.
- On a year-over-year basis, Other Accumulated Expenses has increased in each of the last four quarters, with growth averaging 91.0% over the last eight quarters.
- The strongest year-over-year quarter for Other Accumulated Expenses in the past five years was Q2 2023, with growth of 383.2%; the weakest was Q1 2023, with a decline of 49.8%.
- According to Business Quant data, Other Accumulated Expenses for the three prior quarters was $13.84 million (Q2 2026), $9.37 million (Q1 2026) and $8.04 million (Q4 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 18.82 Mn |
| Jun 30, 2026 | 13.84 Mn |
| Mar 31, 2026 | 9.37 Mn |
| Dec 31, 2025 | 8.04 Mn |
| Sep 30, 2025 | 4.99 Mn |
| Jun 30, 2025 | 4.04 Mn |
| Mar 31, 2025 | 4.08 Mn |
| Dec 31, 2024 | 5.17 Mn |
| Sep 30, 2024 | 5.03 Mn |
| Jun 30, 2024 | 4.38 Mn |
| Mar 31, 2024 | 4.16 Mn |
| Dec 31, 2023 | 3.87 Mn |
| Sep 30, 2023 | 3.70 Mn |
| Mar 31, 2023 | 4.18 Mn |
| Dec 31, 2022 | 4.31 Mn |
| Sep 30, 2022 | 2.54 Mn |
| Jun 30, 2022 | 815,000.00 |
| Mar 31, 2022 | 8.33 Mn |
| Dec 31, 2021 | 1.52 Mn |
Dave 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=DAVEW&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "DAVEW", "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=DAVEW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();