Dave (DAVEW) Cost of Revenue (2022 - 2026)
Dave (DAVEW) posted Cost of Revenue of $12.83 million for Q3 2026, up 36.5% from $9.4 million a year earlier and up 24.6% from the prior quarter.
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Analysis
Dave (DAVEW) Cost of Revenue (2022 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Cost of Revenue at Dave was $42.61 million, up 44.1% year-over-year; for FY2025, it was $33.48 million, up 14.0% from FY2024.
- Annual Cost of Revenue shows a four-year compound annual growth rate of 9.3% (FY2021 to FY2025).
- In prior years, Dave's Cost of Revenue was $29.36 million in FY2024 (+4.4%), $28.12 million in FY2023 (-12.0%), $31.95 million in FY2022 (+36.2%) and $23.46 million in FY2021.
- The Q3 2026 figure stands as the highest quarterly Cost of Revenue in data going back to Q1 2022.
- On a year-over-year basis, Cost of Revenue has increased in each of the last five quarters, with growth averaging 21.2% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q4 2025, with growth of 65.0%; the weakest was Q3 2023, with a decline of 25.6%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $10.3 million (Q2 2026), $9.56 million (Q1 2026) and $9.92 million (Q4 2025).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 12.83 Mn |
| Jun 30, 2026 | 10.30 Mn |
| Mar 31, 2026 | 9.56 Mn |
| Dec 31, 2025 | 9.92 Mn |
| Sep 30, 2025 | 9.40 Mn |
| Jun 30, 2025 | 7.17 Mn |
| Mar 31, 2025 | 6.99 Mn |
| Dec 31, 2024 | 6.01 Mn |
| Sep 30, 2024 | 8.40 Mn |
| Jun 30, 2024 | 7.50 Mn |
| Mar 31, 2024 | 7.72 Mn |
| Dec 31, 2023 | 6.71 Mn |
| Sep 30, 2023 | 7.06 Mn |
| Jun 30, 2023 | 7.23 Mn |
| Mar 31, 2023 | 7.12 Mn |
| Dec 31, 2022 | 8.32 Mn |
| Sep 30, 2022 | 9.49 Mn |
| Jun 30, 2022 | 7.59 Mn |
| Mar 31, 2022 | 6.54 Mn |
API Access
Dave Cost of Revenue 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=cost-of-revenue&ticker=DAVEW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=DAVEW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();