17 Education & Technology (YQ) Assets (2019 - 2026)
17 Education & Technology (YQ) recorded Assets of $87.53 million in Q2 2026, up 27.0% from $68.95 million a year earlier and up 18.3% from the prior quarter.
Powered by 
Analysis
17 Education & Technology (YQ) Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, 17 Education & Technology reported Assets of $84.44 million, up 12.2% from FY2024.
- Annual Assets has a five-year compound annual growth rate of -30.5% (FY2020 to FY2025).
- Across earlier years, Assets came in at $75.28 million in FY2024 (-21.9%), $96.41 million in FY2023 (-32.2%), $142.16 million in FY2022 (-42.7%) and $248 million in FY2021 (-52.3%).
- The Q2 2026 figure is the highest quarterly Assets since Q3 2023.
- On a year-over-year basis, Assets has increased for three consecutive quarters, with growth averaging 15.2% over the last eight quarters.
- Peak year-over-year performance for Assets in the last five years was growth of 153.0% in Q4 2025, against a decline of 85.1% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $74 million (Q1 2026), $83.26 million (Q4 2025) and $67.78 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 1,909.00 |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 9.06 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 2.77 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 3.18 Bn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 6.51 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 8.54 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 2.07 Bn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 698.65 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 10.14 Bn |
| 10 | 17 Education & Technology | 36.98 Mn | -186.12 Mn | 9.19 Mn | 87.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 87.53 Mn |
| Mar 31, 2026 | 74.00 Mn |
| Dec 31, 2025 | 83.26 Mn |
| Sep 30, 2025 | 67.78 Mn |
| Jun 30, 2025 | 68.95 Mn |
| Mar 31, 2025 | 71.41 Mn |
| Dec 31, 2024 | 32.90 Mn |
| Sep 30, 2024 | 79.19 Mn |
| Jun 30, 2024 | 80.99 Mn |
| Mar 31, 2024 | 85.41 Mn |
| Dec 31, 2023 | 29.55 Mn |
| Sep 30, 2023 | 109.03 Mn |
| Jun 30, 2023 | 116.09 Mn |
| Mar 31, 2023 | 130.54 Mn |
| Dec 31, 2022 | 48.05 Mn |
| Sep 30, 2022 | 152.17 Mn |
| Jun 30, 2022 | 178.70 Mn |
| Mar 31, 2022 | 179.07 Mn |
| Dec 31, 2021 | 76.12 Mn |
| Sep 30, 2021 | 299.52 Mn |
API Access
17 Education & Technology Assets 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=assets&ticker=YQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=YQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();