Wah Fu Education (WAFU) Total Debt (2018 - 2026)
Wah Fu Education's Total Debt came in at $40,815 for fiscal Q4 2026 (quarter ended Mar 31, 2026), down 61.9% from $107,013 a year earlier.
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Analysis
Wah Fu Education (WAFU) Total Debt (2018 - 2026) Analysis & Trends
Going back to fiscal Q4 2018, Wah Fu Education's Total Debt data covers 12 quarters.
- Total Debt carries a five-year compound annual growth rate of -19.2% (FY2021 to FY2026).
- Going back by fiscal year, Total Debt was $107,013 in FY2025 (-39.3%), $176,257 in FY2024 (+29.5%), $136,110 in FY2023 (-31.6%) and $199,066 in FY2022 (+68.1%).
- The fiscal Q4 2026 figure represents the lowest quarterly Total Debt in data going back to fiscal Q4 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 139,037.00 |
| 2 | Veeva Systems | 45.09 Bn | 17.34 Bn | 695.95 Mn | - |
| 3 | Samsara | 22.22 Bn | 18.99 Bn | 392.58 Mn | - |
| 4 | Toast | 17.58 Bn | 10.25 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.23 Bn | 14.05 Bn | 490.47 Mn | 25.10 Mn |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn | 1.46 Bn |
| 7 | Duolingo | 13.34 Bn | 8.51 Bn | 216.74 Mn | - |
| 8 | Manhattan Associates | 11.67 Bn | 10.66 Bn | 168.33 Mn | - |
| 9 | Costar | 10.92 Bn | 4.88 Bn | 728.00 Mn | 994.00 Mn |
| 10 | Wah Fu Education | 6.31 Mn | -35.21 Mn | - | 40,815.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 40,815.00 |
| Mar 31, 2025 | 107,013.00 |
| Mar 31, 2024 | 176,257.00 |
| Mar 31, 2023 | 136,110.00 |
| Mar 31, 2022 | 199,066.00 |
| Sep 30, 2021 | 133,046.00 |
| Mar 31, 2021 | 118,442.00 |
| Sep 30, 2020 | 200,716.00 |
| Mar 31, 2020 | 189,201.00 |
| Sep 30, 2019 | 110,398.00 |
| Mar 31, 2019 | 268,550.00 |
| Mar 31, 2018 | 69,045.00 |
API Access
Wah Fu Education Total Debt 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-debt&ticker=WAFU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=WAFU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();