Wah Fu Education (WAFU) Long-Term Investments (2018 - 2026)
Wah Fu Education's Long-Term Investments came in at $129,127 for fiscal Q4 2026 (quarter ended Mar 31, 2026), down 6.3% from $137,804 a year earlier.
Analysis
Wah Fu Education (WAFU) Long-Term Investments (2018 - 2026) Analysis & Trends
Going back to fiscal Q4 2018, Wah Fu Education's Long-Term Investments data covers 11 quarters.
- Long-Term Investments carries a five-year compound annual growth rate of 61.2% (FY2021 to FY2026).
- Going back by fiscal year, Long-Term Investments was $137,804 in FY2025 (-99.9%), $138.5 million in FY2024 and $12,277 in FY2022 (+3.4%).
- The fiscal Q4 2026 figure represents the lowest quarterly Long-Term Investments since fiscal Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 44.24 Bn | 16.49 Bn | 695.95 Mn | - |
| 3 | Samsara | 24.06 Bn | 20.83 Bn | 392.58 Mn | 496.78 Mn |
| 4 | Toast | 17.18 Bn | 9.85 Bn | 516.00 Mn | - |
| 5 | Ptc | 15.95 Bn | 14.76 Bn | 490.47 Mn | - |
| 6 | Duolingo | 13.49 Bn | 8.67 Bn | 216.74 Mn | 102.69 Mn |
| 7 | Trimble | 13.41 Bn | 12.48 Bn | 674.90 Mn | 617.40 Mn |
| 8 | Manhattan Associates | 11.90 Bn | 10.90 Bn | 168.33 Mn | - |
| 9 | Costar | 11.09 Bn | 5.06 Bn | 728.00 Mn | - |
| 10 | Wah Fu Education | 6.40 Mn | -35.12 Mn | - | 129,127.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 129,127.00 |
| Mar 31, 2025 | 137,804.00 |
| Mar 31, 2024 | 138.50 Mn |
| Mar 31, 2022 | 12,277.00 |
| Sep 30, 2021 | 12,078.00 |
| Mar 31, 2021 | 11,879.00 |
| Sep 30, 2020 | 11,439.00 |
| Mar 31, 2020 | 10,977.00 |
| Sep 30, 2019 | 266,256.00 |
| Mar 31, 2019 | 283,113.00 |
| Mar 31, 2018 | 56,421.00 |
API Access
Wah Fu Education Long-Term Investments 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=long-term-investments&ticker=WAFU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=WAFU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();