Wah Fu Education (WAFU) Total Non-Current Liabilities (2019 - 2025)
Wah Fu Education's Total Non-Current Liabilities was $2.57 million in fiscal Q4 2025 (quarter ended Mar 31, 2025), down 5.6% from $2.73 million a year earlier.
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Analysis
Wah Fu Education (WAFU) Total Non-Current Liabilities (2019 - 2025) Analysis & Trends
From fiscal Q4 2019 onward, Wah Fu Education has reported Total Non-Current Liabilities for 7 quarters.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of -3.2% (FY2020 to FY2025).
- In earlier fiscal years, Total Non-Current Liabilities was $2.73 million in FY2024 (+147.8%), $1.1 million in FY2023 (-68.7%), $3.51 million in FY2022 (+3.5%) and $3.39 million in FY2021 (+12.4%).
- The fiscal Q4 2025 figure marks the lowest quarterly Total Non-Current Liabilities since fiscal Q4 2023.
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 | 46.20 Bn | 18.45 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 3.15 Bn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Wah Fu Education | 6.48 Mn | -35.03 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 2.57 Mn |
| Mar 31, 2024 | 2.73 Mn |
| Mar 31, 2023 | 1.10 Mn |
| Mar 31, 2022 | 3.51 Mn |
| Mar 31, 2021 | 3.39 Mn |
| Mar 31, 2020 | 3.02 Mn |
| Mar 31, 2019 | 2.33 Mn |
API Access
Wah Fu Education 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=WAFU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "WAFU", "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=WAFU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();