17 Education & Technology (YQ) Shares Outstanding (2019 - 2026)
17 Education & Technology (YQ) posted Shares Outstanding of 10.02 million for Q2 2026, up 24.7% from 8.04 million a year earlier and unchanged from the prior quarter.
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Analysis
17 Education & Technology (YQ) Shares Outstanding (2019 - 2026) Analysis & Trends
Since Q4 2019, 17 Education & Technology has reported Shares Outstanding for 27 quarters.
- Annual Shares Outstanding shows a five-year compound annual growth rate of 39.9% (FY2020 to FY2025).
- In prior years, 17 Education & Technology's Shares Outstanding was 8.04 million in FY2024 (-12.4%), 9.17 million in FY2023 (-8.8%), 10.06 million in FY2022 (+1.8%) and 9.88 million in FY2021 (+428.4%).
- Quarterly Shares Outstanding has run from a low of 1.87 million in Q3 2021 to a high of 10.06 million in Q3 2023 over five years.
- On a year-over-year basis, Shares Outstanding has increased in each of the last three quarters, with growth averaging 2.0% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was Q3 2022, with growth of 428.4%; the weakest was Q4 2024, with a decline of 12.4%.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 10.02 million (Q1 2026), 10.02 million (Q4 2025) and 8.04 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 450.00 Mn |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 162.34 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 584.14 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 578.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 114.68 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 46.70 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 233.00 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 58.76 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 404.10 Mn |
| 10 | 17 Education & Technology | 35.28 Mn | -187.82 Mn | 9.19 Mn | 10.02 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 10.02 Mn |
| Mar 31, 2026 | 10.02 Mn |
| Dec 31, 2025 | 10.02 Mn |
| Sep 30, 2025 | 8.04 Mn |
| Jun 30, 2025 | 8.04 Mn |
| Mar 31, 2025 | 8.04 Mn |
| Dec 31, 2024 | 8.04 Mn |
| Sep 30, 2024 | 9.17 Mn |
| Jun 30, 2024 | 9.17 Mn |
| Mar 31, 2024 | 9.17 Mn |
| Dec 31, 2023 | 9.17 Mn |
| Sep 30, 2023 | 10.06 Mn |
| Jun 30, 2023 | 10.06 Mn |
| Mar 31, 2023 | 10.06 Mn |
| Dec 31, 2022 | 10.06 Mn |
| Sep 30, 2022 | 9.88 Mn |
| Jun 30, 2022 | 9.88 Mn |
| Mar 31, 2022 | 9.88 Mn |
| Dec 31, 2021 | 9.88 Mn |
| Sep 30, 2021 | 1.87 Mn |
API Access
17 Education & Technology Shares Outstanding 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=shares-outstanding&ticker=YQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=YQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();