17 Education & Technology (YQ) Total Non-Current Liabilities (2019 - 2025)
17 Education & Technology (YQ) recorded Total Non-Current Liabilities of $890,932 in Q4 2025, up 101.8% from $441,453 a year earlier.
17 Education & Technology (YQ) Total Non-Current Liabilities (2019 - 2025) Analysis & Trends
At the end of FY2025, 17 Education & Technology reported Total Non-Current Liabilities of $123.61 million, up 13.1% from FY2024.
- Annual Total Non-Current Liabilities has increased for three straight years, with a five-year compound annual growth rate of 1.3% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $109.29 million in FY2024 (+8.7%), $100.54 million in FY2023 (+40.4%), $71.6 million in FY2022 (-14.6%) and $83.83 million in FY2021 (-27.8%).
- The Q4 2025 figure is the highest quarterly Total Non-Current Liabilities since Q4 2023.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 52.12 Bn | 24.36 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 25.53 Bn | 22.30 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Ptc | 22.28 Bn | 21.10 Bn | 490.47 Mn | 2.94 Bn |
| 5 | Toast | 19.08 Bn | 11.75 Bn | 516.00 Mn | 1.10 Bn |
| 6 | Trimble | 14.80 Bn | 13.87 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Manhattan Associates | 14.22 Bn | 13.22 Bn | 168.33 Mn | 528.94 Mn |
| 8 | Costar | 14.14 Bn | 8.09 Bn | 728.00 Mn | 2.16 Bn |
| 9 | Bentley Systems | 12.30 Bn | 11.76 Bn | 336.74 Mn | 2.26 Bn |
| 10 | 17 Education & Technology | 33.07 Mn | -191.33 Mn | 9.19 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 124.46 Mn |
| Dec 31, 2024 | 109.74 Mn |
| Dec 31, 2023 | 101.36 Mn |
| Dec 31, 2022 | 71.43 Mn |
| Dec 31, 2021 | 92.92 Mn |
| Dec 31, 2020 | 125.08 Mn |
| Dec 31, 2019 | 123.92 Mn |
17 Education & Technology Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=YQ&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=YQ&period=max&api_key=YOUR_API_KEY");
const data = await res.json();