17 Education & Technology (YQ) Net Margin (2019 - 2026)
17 Education & Technology's Net Margin was 1.22% in Q2 2026, up 102.38 percentage points from -101.15% a year earlier and up 20.61 percentage points from the prior quarter.
Powered by 
Analysis
17 Education & Technology (YQ) Net Margin (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, 17 Education & Technology's Net Margin was -45.55% through Jun 30, 2026, up 49.98 percentage points year-over-year; for FY2025, it came in at -145.64%, down 43.68 percentage points from FY2024.
- Net Margin shows a five-year change of +177.13 percentage points (FY2020 to FY2025).
- In earlier years, Net Margin was -101.96% in FY2024 (+80.42 pp), -182.38% in FY2023 (-148.89 pp), -33.49% in FY2022 (+32.51 pp) and -66.01% in FY2021 (+256.77 pp).
- The Q2 2026 figure marks the highest quarterly Net Margin since Q3 2020.
- Compared with a year earlier, Net Margin has increased for three straight quarters, with an average year-over-year change of +37.17 percentage points over the last eight quarters.
- The best year-over-year quarter for Net Margin over five years was Q1 2024 (a gain of 779.93 percentage points); the worst was Q1 2023 (a drop of 991.35 percentage points).
- Per Business Quant data, YQ's Net Margin in the three quarters before Q2 2026 was -19.38% (Q1 2026), -136.15% (Q4 2025) and -221.25% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 29.47% |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 3.19% |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 8.07% |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 19.80% |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | -48.53% |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 11.11% |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 16.91% |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 5.95% |
| 10 | 17 Education & Technology | 36.98 Mn | -186.12 Mn | 9.19 Mn | 1.22% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.22% |
| Mar 31, 2026 | -19.38% |
| Dec 31, 2025 | -136.15% |
| Sep 30, 2025 | -221.25% |
| Jun 30, 2025 | -101.15% |
| Mar 31, 2025 | -142.56% |
| Dec 31, 2024 | -177.03% |
| Sep 30, 2024 | -28.57% |
| Jun 30, 2024 | -82.85% |
| Mar 31, 2024 | -222.03% |
| Dec 31, 2023 | -205.01% |
| Sep 30, 2023 | -163.00% |
| Jun 30, 2023 | -69.21% |
| Mar 31, 2023 | -1,001.96% |
| Dec 31, 2022 | -308.74% |
| Sep 30, 2022 | -18.90% |
| Jun 30, 2022 | -20.11% |
| Mar 31, 2022 | -10.61% |
| Dec 31, 2021 | -4.71% |
| Sep 30, 2021 | -98.22% |
API Access
17 Education & Technology Net Margin 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=net-margin&ticker=YQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=YQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();