EverQuote (EVER) Other Operating Expenses (2017 - 2026)
EverQuote's Other Operating Expenses came in at $173.98 million for Q3 2026, up 21.4% from $143.31 million a year earlier and up 10.8% from the prior quarter.
EverQuote (EVER) Other Operating Expenses (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, EverQuote reported Other Operating Expenses of $648.44 million, up 20.3% year-over-year; for FY2025, it was $580.74 million, up 39.2% from FY2024.
- Other Operating Expenses carries a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $417.25 million in FY2024 (+55.9%), $267.57 million in FY2023 (-29.0%), $376.83 million in FY2022 (-3.6%) and $390.72 million in FY2021 (+24.2%).
- The Q3 2026 figure represents the highest quarterly Other Operating Expenses in data going back to Q2 2017.
- Year-over-year, Other Operating Expenses has increased for ten consecutive quarters, with growth averaging 45.3% over the last eight quarters.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q4 2024 (growth of 141.1%), and the weakest in Q3 2023 (a decline of 45.5%).
- Business Quant data shows EVER's Other Operating Expenses at $157.04 million (Q2 2026), $153.96 million (Q1 2026) and $163.46 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - |
| 10 | EverQuote | 894.56 Mn | 123.30 Mn | 213.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 151.97 Mn |
| Mar 31, 2026 | 149.68 Mn |
| Jun 30, 2025 | -332,000.00 |
| Mar 31, 2025 | -7.90 Mn |
| Dec 31, 2024 | 119.63 Mn |
| Sep 30, 2024 | 117.24 Mn |
| Jun 30, 2024 | 95.92 Mn |
| Mar 31, 2024 | 75.83 Mn |
| Dec 31, 2023 | 49.58 Mn |
| Sep 30, 2023 | 52.66 Mn |
| Jun 30, 2023 | 64.31 Mn |
| Mar 31, 2023 | 96.01 Mn |
| Dec 31, 2022 | 82.21 Mn |
| Sep 30, 2022 | 94.98 Mn |
| Jun 30, 2022 | 93.91 Mn |
| Mar 31, 2022 | 102.13 Mn |
| Dec 31, 2021 | 95.46 Mn |
| Sep 30, 2021 | 98.54 Mn |
| Jun 30, 2021 | 91.42 Mn |
| Mar 31, 2021 | 93.52 Mn |
EverQuote Other 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=other-operating-expenses&ticker=EVER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=EVER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();