EverQuote (EVER) Accumulated Expenses (2017 - 2026)
EverQuote (EVER) recorded Accumulated Expenses of $9.9 million in Q2 2026, up 34.9% from $7.34 million a year earlier but down 6.5% from the prior quarter.
EverQuote (EVER) Accumulated Expenses (2017 - 2026) Analysis & Trends
At the end of FY2025, EverQuote reported Accumulated Expenses of $7.51 million, down 23.3% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -4.4% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $9.79 million in FY2024 (+11.5%), $8.78 million in FY2023 (-11.5%), $9.92 million in FY2022 (-23.7%) and $13.02 million in FY2021 (+38.1%).
- Quarterly Accumulated Expenses has ranged from $6.77 million in Q3 2023 to $20.19 million in Q3 2021 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in four of the last eight quarters, with growth averaging 9.3%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 86.6% in Q1 2025, against a decline of 50.7% in Q3 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $10.59 million (Q1 2026), $7.51 million (Q4 2025) and $8.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn |
| 10 | EverQuote | 635.54 Mn | -52.41 Mn | 190.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.90 Mn |
| Mar 31, 2026 | 10.59 Mn |
| Dec 31, 2025 | 7.51 Mn |
| Sep 30, 2025 | 8.92 Mn |
| Jun 30, 2025 | 7.34 Mn |
| Mar 31, 2025 | 19.87 Mn |
| Dec 31, 2024 | 9.79 Mn |
| Sep 30, 2024 | 9.97 Mn |
| Jun 30, 2024 | 9.82 Mn |
| Mar 31, 2024 | 10.65 Mn |
| Dec 31, 2023 | 8.78 Mn |
| Sep 30, 2023 | 6.77 Mn |
| Jun 30, 2023 | 10.21 Mn |
| Mar 31, 2023 | 10.76 Mn |
| Dec 31, 2022 | 9.92 Mn |
| Sep 30, 2022 | 9.95 Mn |
| Jun 30, 2022 | 10.94 Mn |
| Mar 31, 2022 | 10.25 Mn |
| Dec 31, 2021 | 13.02 Mn |
| Sep 30, 2021 | 20.19 Mn |
EverQuote 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=accumulated-expenses&ticker=EVER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "EVER", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=EVER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();