17 Education & Technology (YQ) EPS (Basic) (2019 - 2026)
17 Education & Technology's EPS (Basic) was $0.02 in Q2 2026, compared with -$0.45 a year earlier.
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Analysis
17 Education & Technology (YQ) EPS (Basic) (2019 - 2026) Analysis & Trends
On a trailing twelve-month basis, 17 Education & Technology's EPS (Basic) was -$1.64 through Jun 30, 2026; for FY2025, it was -$2.20.
- In earlier years, EPS (Basic) was -$3.29 in FY2024, -$4.79 in FY2023, -$2.56 in FY2022 and -$22.90 in FY2021.
- The Q2 2026 figure marks the highest quarterly EPS (Basic) since Q3 2020.
- Per Business Quant data, YQ's EPS (Basic) in the three quarters before Q2 2026 was -$0.28 (Q1 2026), -$0.76 (Q4 2025) and -$0.77 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Basic) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 0.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.68 |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 0.03 |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 0.27 |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 1.04 |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | -2.02 |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 0.71 |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 0.86 |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 0.14 |
| 10 | 17 Education & Technology | 36.98 Mn | -186.12 Mn | 9.19 Mn | 0.02 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.02 |
| Mar 31, 2026 | -0.28 |
| Dec 31, 2025 | -0.76 |
| Sep 30, 2025 | -0.77 |
| Jun 30, 2025 | -0.45 |
| Mar 31, 2025 | -0.53 |
| Dec 31, 2024 | -1.10 |
| Sep 30, 2024 | -0.26 |
| Jun 30, 2024 | -0.84 |
| Mar 31, 2024 | -0.85 |
| Dec 31, 2023 | -1.49 |
| Sep 30, 2023 | -1.00 |
| Jun 30, 2023 | -0.66 |
| Mar 31, 2023 | -1.35 |
| Dec 31, 2022 | -1.76 |
| Sep 30, 2022 | -0.33 |
| Jun 30, 2022 | -0.41 |
| Mar 31, 2022 | -0.40 |
| Dec 31, 2021 | -0.41 |
| Sep 30, 2021 | -40.50 |
API Access
17 Education & Technology EPS (Basic) 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=eps-basic&ticker=YQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-basic", "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=eps-basic&ticker=YQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();