17 Education & Technology (YQ) Return on Sales [ROS] (2019 - 2026)
17 Education & Technology's Return on Sales [ROS] was -0.70% in Q2 2026, up 111.26 percentage points from -111.95% a year earlier and up 20.62 percentage points from the prior quarter.
17 Education & Technology (YQ) Return on Sales [ROS] (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, 17 Education & Technology's Return on Sales [ROS] was -48.48% through Jun 30, 2026, up 56.91 percentage points year-over-year; for FY2025, it came in at -150.11%, down 37.11 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -47.04 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -113.00% in FY2024 (+87.49 pp), -200.49% in FY2023 (-160.73 pp), -39.76% in FY2022 (+27.69 pp) and -67.45% in FY2021 (+35.62 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] in data going back to Q4 2019.
- Compared with a year earlier, Return on Sales [ROS] has increased for three straight quarters, with an average year-over-year change of +42.06 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q1 2024 (a gain of 877.20 percentage points); the worst was Q1 2023 (a drop of 1113.82 percentage points).
- Per Business Quant data, YQ's Return on Sales [ROS] in the three quarters before Q2 2026 was -21.32% (Q1 2026), -140.16% (Q4 2025) and -231.86% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | 29.64% |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 0.96% |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | 7.97% |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | 27.75% |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 11.37% |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 13.58% |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | 22.24% |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | 8.22% |
| 10 | 17 Education & Technology | 36.28 Mn | -186.82 Mn | 9.19 Mn | -0.70% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -0.70% |
| Mar 31, 2026 | -21.32% |
| Dec 31, 2025 | -140.16% |
| Sep 30, 2025 | -231.86% |
| Jun 30, 2025 | -111.95% |
| Mar 31, 2025 | -156.33% |
| Dec 31, 2024 | -188.77% |
| Sep 30, 2024 | -35.54% |
| Jun 30, 2024 | -89.52% |
| Mar 31, 2024 | -249.09% |
| Dec 31, 2023 | -215.97% |
| Sep 30, 2023 | -175.96% |
| Jun 30, 2023 | -83.47% |
| Mar 31, 2023 | -1,126.29% |
| Dec 31, 2022 | -304.24% |
| Sep 30, 2022 | -22.16% |
| Jun 30, 2022 | -25.93% |
| Mar 31, 2022 | -12.47% |
| Dec 31, 2021 | -5.33% |
| Sep 30, 2021 | -99.89% |
17 Education & Technology 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=YQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "YQ", "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=YQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();