EverQuote (EVER) Cash & Equivalents (2017 - 2026)
EverQuote (EVER) recorded Cash & Equivalents of $192.32 million in Q2 2026, up 29.8% from $148.19 million a year earlier and up 7.7% from the prior quarter.
EverQuote (EVER) Cash & Equivalents (2017 - 2026) Analysis & Trends
At the end of FY2025, EverQuote reported Cash & Equivalents of $171.38 million, up 67.8% from FY2024.
- Annual Cash & Equivalents has increased for three straight years, with a five-year compound annual growth rate of 31.9% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $102.12 million in FY2024 (+169.0%), $37.96 million in FY2023 (+23.1%), $30.84 million in FY2022 (-11.5%) and $34.85 million in FY2021 (-18.7%).
- The Q2 2026 figure is the highest quarterly Cash & Equivalents in data going back to Q2 2017.
- On a year-over-year basis, Cash & Equivalents has increased for 12 consecutive quarters, with growth averaging 99.7% over the last eight quarters.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 169.0% in Q4 2024, against a decline of 37.7% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $178.49 million (Q1 2026), $171.38 million (Q4 2025) and $145.77 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | 55.91 Bn |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | 15.46 Bn |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 9.10 Bn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | 21.06 Bn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | 1.66 Bn |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 4.87 Bn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 17.21 Bn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | 19.00 Bn |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | 6.90 Bn |
| 10 | EverQuote | 635.54 Mn | -52.41 Mn | 190.73 Mn | 192.32 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 192.32 Mn |
| Mar 31, 2026 | 178.49 Mn |
| Dec 31, 2025 | 171.38 Mn |
| Sep 30, 2025 | 145.77 Mn |
| Jun 30, 2025 | 148.19 Mn |
| Mar 31, 2025 | 124.97 Mn |
| Dec 31, 2024 | 102.12 Mn |
| Sep 30, 2024 | 82.84 Mn |
| Jun 30, 2024 | 60.92 Mn |
| Mar 31, 2024 | 48.62 Mn |
| Dec 31, 2023 | 37.96 Mn |
| Sep 30, 2023 | 39.05 Mn |
| Jun 30, 2023 | 31.05 Mn |
| Mar 31, 2023 | 28.75 Mn |
| Dec 31, 2022 | 30.84 Mn |
| Sep 30, 2022 | 36.59 Mn |
| Jun 30, 2022 | 41.27 Mn |
| Mar 31, 2022 | 46.13 Mn |
| Dec 31, 2021 | 34.85 Mn |
| Sep 30, 2021 | 41.77 Mn |
EverQuote Cash & Equivalents 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=cash-and-equivalents&ticker=EVER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=EVER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();