Snap (SNAP) Return on Sales [ROS] (2016 - 2026)
Snap (SNAP) posted Return on Sales [ROS] of -10.68% for Q2 2026, up 8.63 percentage points from -19.31% a year earlier but down 5.81 percentage points from the prior quarter.
Snap (SNAP) Return on Sales [ROS] (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Snap was -5.10%, up 6.49 percentage points year-over-year; for FY2025, it was -8.97%, up 5.71 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +25.42 percentage points (FY2020 to FY2025).
- In prior years, Snap's Return on Sales [ROS] was -14.68% in FY2024 (+15.67 pp), -30.36% in FY2023 (-0.04 pp), -30.32% in FY2022 (-13.27 pp) and -17.05% in FY2021 (+17.34 pp).
- Quarterly Return on Sales [ROS] has run from a low of -38.57% in Q3 2022 to a high of 2.90% in Q4 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last 12 quarters, with an average year-over-year change of +9.69 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q3 2024, with a gain of 19.36 percentage points; the weakest was Q3 2022, with a drop of 21.63 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -4.87% (Q1 2026), 2.90% (Q4 2025) and -8.52% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,185.47 Bn | 3,943.00 Bn | 73.85 Bn | 34.03% |
| 2 | Meta Platforms | 1,794.56 Bn | 1,497.08 Bn | 49.47 Bn | 30.88% |
| 3 | Netflix | 292.71 Bn | 252.90 Bn | 6.52 Bn | 33.38% |
| 4 | Alibaba Group Holding | 251.74 Bn | 65.51 Bn | 15.11 Bn | 5.62% |
| 5 | Shopify | 221.57 Bn | 198.76 Bn | 1.71 Bn | 13.62% |
| 6 | Uber Technologies | 142.45 Bn | 114.25 Bn | 6.38 Bn | 13.32% |
| 7 | Booking Holdings | 124.83 Bn | 57.88 Bn | - | 34.00% |
| 8 | PDD Holdings | 113.76 Bn | -130.01 Bn | 9.45 Bn | 24.62% |
| 9 | Spotify Technology | 106.73 Bn | 64.23 Bn | 1.86 Bn | 13.71% |
| 10 | Snap | 10.47 Bn | -945.18 Mn | 931.11 Mn | -10.68% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -10.68% |
| Mar 31, 2026 | -4.87% |
| Dec 31, 2025 | 2.90% |
| Sep 30, 2025 | -8.52% |
| Jun 30, 2025 | -19.31% |
| Mar 31, 2025 | -14.22% |
| Dec 31, 2024 | -1.73% |
| Sep 30, 2024 | -12.62% |
| Jun 30, 2024 | -20.54% |
| Mar 31, 2024 | -27.89% |
| Dec 31, 2023 | -18.27% |
| Sep 30, 2023 | -31.98% |
| Jun 30, 2023 | -37.87% |
| Mar 31, 2023 | -36.95% |
| Dec 31, 2022 | -22.13% |
| Sep 30, 2022 | -38.57% |
| Jun 30, 2022 | -36.09% |
| Mar 31, 2022 | -25.55% |
| Dec 31, 2021 | -1.94% |
| Sep 30, 2021 | -16.94% |
Snap 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=SNAP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "SNAP", "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=SNAP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();