Dave (DAVEW) Operating Expenses (2021 - 2026)
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Analysis
Dave (DAVEW) Operating Expenses (2021 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 149.69 Mn |
| Jun 30, 2026 | 118.55 Mn |
| Mar 31, 2026 | 98.85 Mn |
| Dec 31, 2025 | 99.23 Mn |
| Sep 30, 2025 | 104.83 Mn |
| Jun 30, 2025 | 90.68 Mn |
| Mar 31, 2025 | 72.83 Mn |
| Dec 31, 2024 | 79.85 Mn |
| Sep 30, 2024 | 89.94 Mn |
| Jun 30, 2024 | 74.45 Mn |
| Mar 31, 2024 | 68.23 Mn |
| Dec 31, 2023 | 71.35 Mn |
| Sep 30, 2023 | 76.39 Mn |
| Jun 30, 2023 | 82.15 Mn |
| Mar 31, 2023 | 71.41 Mn |
| Dec 31, 2022 | 80.46 Mn |
| Sep 30, 2022 | 94.73 Mn |
| Jun 30, 2022 | 98.82 Mn |
| Mar 31, 2022 | 65.22 Mn |
| Dec 31, 2021 | 55.76 Mn |
API Access
Dave Operating 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=operating-expenses&ticker=DAVEW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=DAVEW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();