EverQuote (EVER) Return on Sales [ROS] (2017 - 2026)
EverQuote's Return on Sales [ROS] was 10.98% in Q3 2026, up 0.89 percentage points from 10.08% a year earlier but down 1.06 percentage points from the prior quarter.
EverQuote (EVER) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, EverQuote's Return on Sales [ROS] was 11.19% through Sep 30, 2026, up 3.17 percentage points year-over-year; for FY2025, it came in at 8.42%, up 2.08 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +11.79 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 6.35% in FY2024 (+24.40 pp), -18.05% in FY2023 (-11.92 pp), -6.13% in FY2022 (-0.90 pp) and -5.24% in FY2021 (-1.87 pp).
- Quarterly Return on Sales [ROS] has moved between -53.47% (Q3 2023) and 12.27% (Q1 2026) over five years.
- Compared with a year earlier, Return on Sales [ROS] has increased for 11 straight quarters, with an average year-over-year change of +5.20 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2024 (a gain of 61.54 percentage points); the worst was Q3 2023 (a drop of 47.08 percentage points).
- Per Business Quant data, EVER's Return on Sales [ROS] in the three quarters before Q3 2026 was 12.04% (Q2 2026), 12.27% (Q1 2026) and 9.54% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,522.13 Bn | 3,257.03 Bn | 76.16 Bn | 31.81% |
| 2 | Meta Platforms | 1,639.39 Bn | 1,303.91 Bn | 51.23 Bn | 20.10% |
| 3 | Netflix | 259.77 Bn | 221.06 Bn | 6.80 Bn | 34.63% |
| 4 | Alibaba Group Holding | 238.46 Bn | 60.53 Bn | 15.16 Bn | 5.64% |
| 5 | Shopify | 188.67 Bn | 173.82 Bn | 1.78 Bn | 15.18% |
| 6 | Uber Technologies | 142.87 Bn | 114.08 Bn | 6.42 Bn | 9.80% |
| 7 | AppLovin | 131.04 Bn | 119.57 Bn | 1.94 Bn | 78.22% |
| 8 | Spotify Technology | 124.73 Bn | 81.65 Bn | 1.89 Bn | 13.52% |
| 9 | Booking Holdings | 119.44 Bn | 53.19 Bn | - | 38.43% |
| 10 | EverQuote | 894.56 Mn | 123.30 Mn | 213.45 Mn | 10.98% |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 10.98% |
| Jun 30, 2026 | 12.04% |
| Mar 31, 2026 | 12.27% |
| Dec 31, 2025 | 9.54% |
| Sep 30, 2025 | 10.08% |
| Jun 30, 2025 | 9.05% |
| Mar 31, 2025 | 4.80% |
| Dec 31, 2024 | 8.16% |
| Sep 30, 2024 | 8.07% |
| Jun 30, 2024 | 5.37% |
| Mar 31, 2024 | 1.94% |
| Dec 31, 2023 | -12.14% |
| Sep 30, 2023 | -53.47% |
| Jun 30, 2023 | -19.67% |
| Mar 31, 2023 | -2.23% |
| Dec 31, 2022 | -9.83% |
| Sep 30, 2022 | -6.38% |
| Jun 30, 2022 | -3.75% |
| Mar 31, 2022 | -5.15% |
| Dec 31, 2021 | -8.30% |
EverQuote Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=EVER&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=EVER&period=max&api_key=YOUR_API_KEY");
const data = await res.json();