Wah Fu Education (WAFU) Receivables - Net (2018 - 2026)
Wah Fu Education's Receivables - Net came in at $1.82 million for fiscal Q4 2026 (quarter ended Mar 31, 2026), up 1.4% from $1.8 million a year earlier.
Analysis
Wah Fu Education (WAFU) Receivables - Net (2018 - 2026) Analysis & Trends
Going back to fiscal Q4 2018, Wah Fu Education's Receivables - Net data covers 12 quarters.
- Receivables - Net has increased in each of the last three fiscal years, though with a five-year compound annual growth rate of -1.1% (FY2021 to FY2026).
- Going back by fiscal year, Receivables - Net was $1.8 million in FY2025 (+72.7%), $1.04 million in FY2024 (+29.9%), $800,000 in FY2023 (-53.3%) and $1.71 million in FY2022 (-10.8%).
- The fiscal Q4 2026 figure represents the highest quarterly Receivables - Net since fiscal Q2 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - |
| 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 |
| 6 | Trimble | 13.37 Bn | 12.44 Bn | 674.90 Mn |
| 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 |
| 10 | Wah Fu Education | 6.31 Mn | -35.21 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.82 Mn |
| Mar 31, 2025 | 1.80 Mn |
| Mar 31, 2024 | 1.04 Mn |
| Mar 31, 2023 | 800,000.00 |
| Mar 31, 2022 | 1.71 Mn |
| Sep 30, 2021 | 2.09 Mn |
| Mar 31, 2021 | 1.92 Mn |
| Sep 30, 2020 | 1.15 Mn |
| Mar 31, 2020 | 542,913.00 |
| Sep 30, 2019 | 716,229.00 |
| Mar 31, 2019 | 1.78 Mn |
| Mar 31, 2018 | 2.04 Mn |
API Access
Wah Fu Education Receivables - Net 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=receivables-net&ticker=WAFU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=WAFU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();