Yelp (YELP) Return on Sales [ROS] (2011 - 2026)
Yelp (YELP) reported Return on Sales [ROS] of 11.65% for Q2 2026, down 2.74 percentage points from 14.39% a year earlier but up 4.09 percentage points from the prior quarter.
Yelp (YELP) Return on Sales [ROS] (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Yelp's Return on Sales [ROS] came in at 11.73%, down 0.87 percentage points year-over-year; for FY2025, it was 12.60%, up 1.90 percentage points from FY2024.
- Return on Sales [ROS] has increased for five consecutive years, with a five-year change of +17.04 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 10.70% in FY2024 (+4.79 pp), 5.91% in FY2023 (+1.02 pp), 4.89% in FY2022 (+1.84 pp) and 3.05% in FY2021 (+7.50 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -2.11% in Q1 2023 and a high of 14.76% in Q4 2024.
- Year over year, Return on Sales [ROS] has now declined in each of the last three quarters, with an average year-over-year change of +1.61 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q3 2023 (a gain of 7.79 percentage points); the low point was Q3 2022 (a drop of 3.70 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 7.55% (Q1 2026), 13.58% (Q4 2025) and 14.06% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,126.42 Bn | 3,883.94 Bn | 73.85 Bn | 34.03% |
| 2 | Meta Platforms | 1,763.57 Bn | 1,466.09 Bn | 49.47 Bn | 30.88% |
| 3 | Netflix | 287.17 Bn | 247.37 Bn | 6.52 Bn | 33.38% |
| 4 | Alibaba Group Holding | 252.08 Bn | 65.86 Bn | 15.11 Bn | 5.62% |
| 5 | Shopify | 224.54 Bn | 201.72 Bn | 1.71 Bn | 13.62% |
| 6 | Uber Technologies | 140.28 Bn | 112.08 Bn | 6.38 Bn | 13.32% |
| 7 | Booking Holdings | 125.81 Bn | 58.86 Bn | - | 34.00% |
| 8 | PDD Holdings | 114.10 Bn | -129.68 Bn | 9.45 Bn | 24.62% |
| 9 | Spotify Technology | 108.24 Bn | 65.74 Bn | 1.86 Bn | 13.71% |
| 10 | Yelp | 1.12 Bn | 263.02 Mn | 333.74 Mn | 11.65% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.65% |
| Mar 31, 2026 | 7.55% |
| Dec 31, 2025 | 13.58% |
| Sep 30, 2025 | 14.06% |
| Jun 30, 2025 | 14.39% |
| Mar 31, 2025 | 8.22% |
| Dec 31, 2024 | 14.76% |
| Sep 30, 2024 | 12.95% |
| Jun 30, 2024 | 11.13% |
| Mar 31, 2024 | 3.37% |
| Dec 31, 2023 | 7.31% |
| Sep 30, 2023 | 12.13% |
| Jun 30, 2023 | 5.56% |
| Mar 31, 2023 | -2.11% |
| Dec 31, 2022 | 10.80% |
| Sep 30, 2022 | 4.35% |
| Jun 30, 2022 | 5.35% |
| Mar 31, 2022 | -1.61% |
| Dec 31, 2021 | 7.17% |
| Sep 30, 2021 | 8.04% |
Yelp 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=YELP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "YELP", "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=YELP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();