Wah Fu Education (WAFU) Operating Leases (2019 - 2026)
Wah Fu Education's Operating Leases was $72,981 in fiscal Q4 2026 (quarter ended Mar 31, 2026), up 402.0% from $14,539 a year earlier.
Powered by 
Analysis
Wah Fu Education (WAFU) Operating Leases (2019 - 2026) Analysis & Trends
From fiscal Q2 2020 onward, Wah Fu Education has reported Operating Leases for 10 quarters.
- Operating Leases shows a five-year compound annual growth rate of -7.2% (FY2021 to FY2026).
- In earlier fiscal years, Operating Leases was $14,539 in FY2025 (-80.1%), $72,975 in FY2024 (-64.1%), $203,171 in FY2023 and $6,063 in FY2022 (-94.3%).
- The fiscal Q4 2026 figure marks the highest quarterly Operating Leases since fiscal Q4 2023.
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 | 72,981.00 |
| Mar 31, 2025 | 14,539.00 |
| Mar 31, 2024 | 72,975.00 |
| Mar 31, 2023 | 203,171.00 |
| Mar 31, 2022 | 6,063.00 |
| Sep 30, 2021 | 36,912.00 |
| Mar 31, 2021 | 105,872.00 |
| Sep 30, 2020 | 242,695.00 |
| Mar 31, 2020 | 361,595.00 |
| Sep 30, 2019 | 500,006.00 |
API Access
Wah Fu Education Operating Leases 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=operating-leases&ticker=WAFU&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=WAFU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();