17 Education & Technology (YQ) EPS (Diluted) (2020 - 2026)
17 Education & Technology's EPS (Diluted) was $0.02 in Q2 2026, compared with -$0.45 a year earlier.
Analysis
17 Education & Technology (YQ) EPS (Diluted) (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, 17 Education & Technology's EPS (Diluted) was -$1.64 through Jun 30, 2026; for FY2025, it came in at -$2.20.
- In earlier years, EPS (Diluted) 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 (Diluted) in data going back to Q4 2020.
- Per Business Quant data, YQ's EPS (Diluted) 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 (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 51.94 Bn | 24.18 Bn | 695.95 Mn | 1.66 |
| 3 | Samsara | 25.33 Bn | 22.10 Bn | 392.58 Mn | 0.03 |
| 4 | Ptc | 22.23 Bn | 21.05 Bn | 490.47 Mn | 1.03 |
| 5 | Toast | 19.17 Bn | 11.84 Bn | 516.00 Mn | 0.26 |
| 6 | Trimble | 14.59 Bn | 13.66 Bn | 674.90 Mn | -2.02 |
| 7 | Manhattan Associates | 13.85 Bn | 12.85 Bn | 168.33 Mn | 0.85 |
| 8 | Costar | 13.39 Bn | 7.34 Bn | 728.00 Mn | 0.14 |
| 9 | Bentley Systems | 12.01 Bn | 11.47 Bn | 336.74 Mn | 0.25 |
| 10 | 17 Education & Technology | 33.57 Mn | -190.83 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 | -0.78 |
| Jun 30, 2025 | -0.45 |
| Mar 31, 2025 | -0.53 |
| Dec 31, 2024 | -1.10 |
| Sep 30, 2024 | -0.27 |
| Jun 30, 2024 | -0.84 |
| Mar 31, 2024 | -0.85 |
| Dec 31, 2023 | -1.49 |
| Sep 30, 2023 | -0.99 |
| Jun 30, 2023 | -0.66 |
| Mar 31, 2023 | -1.34 |
| Dec 31, 2022 | -1.49 |
| Sep 30, 2022 | -0.33 |
| Jun 30, 2022 | -0.41 |
| Mar 31, 2022 | -0.39 |
| Dec 31, 2021 | -0.41 |
| Sep 30, 2021 | -40.66 |
API Access
17 Education & Technology EPS (Diluted) 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-diluted&ticker=YQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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-diluted&ticker=YQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();