Dave (DAVE) Operating Expenses (2021 - 2026)
Dave (DAVE) reported Operating Expenses of $118.55 million for Q2 2026, up 30.7% from $90.68 million a year earlier and up 19.9% from the prior quarter.
Dave (DAVE) Operating Expenses (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Dave's Operating Expenses came in at $421.45 million, up 26.5% year-over-year; for FY2025, it came in at $367.56 million, up 17.6% from FY2024.
- Operating Expenses has a four-year compound annual growth rate of 16.4% (FY2021 to FY2025).
- By year, Operating Expenses came in at $312.47 million in FY2024 (+3.7%), $301.29 million in FY2023 (-11.2%), $339.23 million in FY2022 (+69.7%) and $199.89 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Operating Expenses in data going back to Q1 2021.
- Year over year, Operating Expenses has now increased in each of the last eight quarters, with growth averaging 20.7% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q2 2022 (growth of 127.2%); the low point was Q3 2023 (a decline of 19.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $98.85 million (Q1 2026), $99.23 million (Q4 2025) and $104.83 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | PayPal Holdings | 49.49 Bn | 7.72 Bn | - | 7.26 Bn |
| 2 | Block | 46.34 Bn | 17.64 Bn | 3.17 Bn | 2.72 Bn |
| 3 | Coinbase Global | 44.39 Bn | 1.20 Bn | - | 1.33 Bn |
| 4 | Corpay | 26.40 Bn | 16.28 Bn | - | 260.40 Mn |
| 5 | Fiserv | 25.40 Bn | 22.08 Bn | 2.90 Bn | 4.28 Bn |
| 6 | Global Payments | 22.86 Bn | 652.84 Mn | 2.03 Bn | 2.98 Bn |
| 7 | Guidewire Software | 14.45 Bn | 11.02 Bn | 269.68 Mn | 207.36 Mn |
| 8 | Bitmine Immersion Technologies | 11.93 Bn | 9.31 Bn | 40.81 Mn | 52.67 Mn |
| 9 | Chime Financial | 11.25 Bn | 7.04 Bn | 594.87 Mn | 573.55 Mn |
| 10 | Dave | 4.57 Bn | 3.93 Bn | 160.49 Mn | 118.55 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 55.87 Mn |
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=DAVE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "DAVE", "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=DAVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();