Youdao (DAO) Total Non-Current Liabilities (2019 - 2026)
Youdao's Total Non-Current Liabilities came in at $127.28 million for Q2 2026, down 6.0% from $135.38 million a year earlier but up 2.0% from the prior quarter.
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Analysis
Youdao (DAO) Total Non-Current Liabilities (2019 - 2026) Analysis & Trends
At the end of FY2025, Youdao's Total Non-Current Liabilities was $139.31 million, up 6.3% from FY2024.
- Total Non-Current Liabilities has increased in each of the last six years, with a five-year compound annual growth rate of 61.1% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $131.08 million in FY2024 (+33.7%), $98.03 million in FY2023 (+17.6%), $83.34 million in FY2022 (+60.7%) and $51.86 million in FY2021 (+303.9%).
- The five-year range for quarterly Total Non-Current Liabilities is $7.53 million (Q1 2023) to $137.36 million (Q4 2025).
- Year-over-year, Total Non-Current Liabilities increased in five of the last eight quarters, with growth averaging 9.8%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q1 2022 (growth of 435.6%), and the weakest in Q2 2023 (a decline of 89.9%).
- Business Quant data shows DAO's Total Non-Current Liabilities at $124.78 million (Q1 2026), $137.36 million (Q4 2025) and $135.29 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
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 | 45.09 Bn | 17.34 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.22 Bn | 18.99 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 17.58 Bn | 10.25 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.23 Bn | 14.05 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn | 3.15 Bn |
| 7 | Duolingo | 13.34 Bn | 8.51 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.67 Bn | 10.66 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 10.92 Bn | 4.88 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Youdao | 3.57 Bn | 3.19 Bn | 105.66 Mn | 127.28 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 127.28 Mn |
| Mar 31, 2026 | 124.78 Mn |
| Dec 31, 2025 | 137.36 Mn |
| Sep 30, 2025 | 135.29 Mn |
| Jun 30, 2025 | 135.38 Mn |
| Mar 31, 2025 | 133.06 Mn |
| Dec 31, 2024 | 133.20 Mn |
| Sep 30, 2024 | 135.78 Mn |
| Jun 30, 2024 | 132.75 Mn |
| Mar 31, 2024 | 131.05 Mn |
| Dec 31, 2023 | 96.67 Mn |
| Sep 30, 2023 | 92.56 Mn |
| Jun 30, 2023 | 8.04 Mn |
| Mar 31, 2023 | 7.53 Mn |
| Dec 31, 2022 | 80.82 Mn |
| Sep 30, 2022 | 78.45 Mn |
| Jun 30, 2022 | 79.49 Mn |
| Mar 31, 2022 | 63.89 Mn |
| Dec 31, 2021 | 51.69 Mn |
| Sep 30, 2021 | 16.52 Mn |
API Access
Youdao 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=DAO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "DAO", "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=DAO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();