Sunlands Technology (STG) Total Non-Current Liabilities (2017 - 2026)
Sunlands Technology's Total Non-Current Liabilities came in at $45.25 million for Q2 2026, down 35.3% from $69.92 million a year earlier and down 1.8% from the prior quarter.
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Analysis
Sunlands Technology (STG) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Sunlands Technology's Total Non-Current Liabilities was $49.15 million, down 50.2% from FY2024.
- Total Non-Current Liabilities has declined in each of the last six years, with a five-year compound annual growth rate of -32.4% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $98.63 million in FY2024 (-15.9%), $117.3 million in FY2023 (-31.3%), $170.76 million in FY2022 (-36.0%) and $266.9 million in FY2021 (-23.5%).
- The Q2 2026 figure represents the lowest quarterly Total Non-Current Liabilities in data going back to Q4 2017.
- Year-over-year, Total Non-Current Liabilities has declined for 23 consecutive quarters, with an average decline of 34.1% over the last eight quarters.
- The year-over-year decline in Total Non-Current Liabilities has ranged between 10.8% (Q3 2024) and 52.1% (Q3 2025) over the last five years.
- Business Quant data shows STG's Total Non-Current Liabilities at $46.08 million (Q1 2026), $48.46 million (Q4 2025) and $53.34 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 | Sunlands Technology | 39.34 Mn | 39.12 Mn | - | 45.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 45.25 Mn |
| Mar 31, 2026 | 46.08 Mn |
| Dec 31, 2025 | 48.46 Mn |
| Sep 30, 2025 | 53.34 Mn |
| Jun 30, 2025 | 69.92 Mn |
| Mar 31, 2025 | 73.37 Mn |
| Dec 31, 2024 | 100.22 Mn |
| Sep 30, 2024 | 111.40 Mn |
| Jun 30, 2024 | 111.36 Mn |
| Mar 31, 2024 | 113.56 Mn |
| Dec 31, 2023 | 115.66 Mn |
| Sep 30, 2023 | 124.87 Mn |
| Jun 30, 2023 | 132.26 Mn |
| Mar 31, 2023 | 168.36 Mn |
| Dec 31, 2022 | 165.60 Mn |
| Sep 30, 2022 | 183.84 Mn |
| Jun 30, 2022 | 212.46 Mn |
| Mar 31, 2022 | 257.61 Mn |
| Dec 31, 2021 | 266.02 Mn |
| Sep 30, 2021 | 277.87 Mn |
API Access
Sunlands 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=STG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "STG", "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=STG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();