17 Education & Technology (YQ) Non-Current Assets (2019 - 2026)
17 Education & Technology (YQ) recorded Non-Current Assets of $5.01 million in Q2 2026, down 8.0% from $5.44 million a year earlier and down 8.2% from the prior quarter.
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Analysis
17 Education & Technology (YQ) Non-Current Assets (2019 - 2026) Analysis & Trends
At the end of FY2025, 17 Education & Technology reported Non-Current Assets of $3.77 million, down 6.1% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of -34.9% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $4.02 million in FY2024 (-17.3%), $4.85 million in FY2023 (+32.6%), $3.66 million in FY2022 (-82.1%) and $20.44 million in FY2021 (-36.6%).
- Quarterly Non-Current Assets has ranged from $3.46 million in Q4 2022 to $54.61 million in Q3 2021 over the past five years.
- On a year-over-year basis, Non-Current Assets has declined for ten consecutive quarters, with an average decline of 13.2% over the last eight quarters.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 40.4% in Q4 2023, against a decline of 83.2% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $5.46 million (Q1 2026), $3.82 million (Q4 2025) and $4.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 45.35 Bn | 17.59 Bn | 695.95 Mn | 1.11 Bn |
| 3 | Samsara | 22.20 Bn | 18.97 Bn | 392.58 Mn | 1.20 Bn |
| 4 | Toast | 17.53 Bn | 10.20 Bn | 516.00 Mn | 531.00 Mn |
| 5 | Ptc | 15.47 Bn | 14.28 Bn | 490.47 Mn | 5.14 Bn |
| 6 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 7.20 Bn |
| 7 | Duolingo | 12.56 Bn | 7.73 Bn | 216.74 Mn | 502.84 Mn |
| 8 | Manhattan Associates | 11.77 Bn | 10.77 Bn | 168.33 Mn | 231.59 Mn |
| 9 | Costar | 10.95 Bn | 4.91 Bn | 728.00 Mn | 8.49 Bn |
| 10 | 17 Education & Technology | 36.98 Mn | -186.12 Mn | 9.19 Mn | 5.01 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.01 Mn |
| Mar 31, 2026 | 5.46 Mn |
| Dec 31, 2025 | 3.82 Mn |
| Sep 30, 2025 | 4.91 Mn |
| Jun 30, 2025 | 5.44 Mn |
| Mar 31, 2025 | 5.83 Mn |
| Dec 31, 2024 | 4.02 Mn |
| Sep 30, 2024 | 6.82 Mn |
| Jun 30, 2024 | 6.68 Mn |
| Mar 31, 2024 | 6.69 Mn |
| Dec 31, 2023 | 4.85 Mn |
| Sep 30, 2023 | 7.51 Mn |
| Jun 30, 2023 | 7.56 Mn |
| Mar 31, 2023 | 9.15 Mn |
| Dec 31, 2022 | 3.46 Mn |
| Sep 30, 2022 | 11.17 Mn |
| Jun 30, 2022 | 16.91 Mn |
| Mar 31, 2022 | 28.07 Mn |
| Dec 31, 2021 | 20.62 Mn |
| Sep 30, 2021 | 54.61 Mn |
API Access
17 Education & Technology Non-Current 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=non-current-assets&ticker=YQ&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-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=non-current-assets&ticker=YQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();