EverQuote (EVER) Shares Outstanding (2017 - 2026)
EverQuote (EVER) reported Weighted Average Shares Outstanding of 35.38 million for Q3 2026, down 2.3% from 36.22 million a year earlier but up 0.6% from the prior quarter.
EverQuote (EVER) Shares Outstanding (2017 - 2026) Analysis & Trends
For FY2025, EverQuote posted Weighted Average Shares Outstanding of 36.14 million, up 3.2% from FY2024.
- Weighted Average Shares Outstanding has increased for eight consecutive years, with a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 35.01 million in FY2024 (+5.0%), 33.35 million in FY2023 (+5.5%), 31.61 million in FY2022 (+8.7%) and 29.09 million in FY2021 (+6.4%).
- Five-year quarterly Weighted Average Shares Outstanding spans a low of 29.09 million in Q4 2021 and a high of 36.33 million in Q2 2025.
- Year over year, Weighted Average Shares Outstanding gained in six of the last eight quarters, with growth averaging 1.8%.
- The high point for year-over-year Weighted Average Shares Outstanding in five years was Q3 2022 (growth of 9.3%); the low point was Q2 2026 (a decline of 3.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 35.18 million (Q2 2026), 35.95 million (Q1 2026) and 36.14 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn | 12.26 Bn |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn | 2.55 Bn |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn | 4.13 Bn |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn | 2.32 Bn |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn | 1.29 Bn |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn | 2.04 Bn |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn | 333.63 Mn |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn | 205.41 Mn |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - | 750.00 Mn |
| 10 | EverQuote | 894.56 Mn | 123.30 Mn | 213.45 Mn | 35.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 35.38 Mn |
| Jun 30, 2026 | 35.18 Mn |
| Mar 31, 2026 | 35.95 Mn |
| Dec 31, 2025 | 36.14 Mn |
| Sep 30, 2025 | 36.22 Mn |
| Jun 30, 2025 | 36.33 Mn |
| Mar 31, 2025 | 35.88 Mn |
| Dec 31, 2024 | 35.01 Mn |
| Sep 30, 2024 | 35.23 Mn |
| Jun 30, 2024 | 34.91 Mn |
| Mar 31, 2024 | 34.39 Mn |
| Dec 31, 2023 | 33.35 Mn |
| Sep 30, 2023 | 33.55 Mn |
| Jun 30, 2023 | 33.13 Mn |
| Mar 31, 2023 | 32.89 Mn |
| Dec 31, 2022 | 31.61 Mn |
| Sep 30, 2022 | 32.01 Mn |
| Jun 30, 2022 | 31.52 Mn |
| Mar 31, 2022 | 30.53 Mn |
| Dec 31, 2021 | 29.09 Mn |
EverQuote Shares Outstanding 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=shares-outstanding&ticker=EVER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=EVER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();