Fatpipe (FATN) Operating Leases (2024 - 2026)
Fatpipe's Operating Leases came in at $575,899 for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 43.5% from $1.02 million a year earlier and down 15.6% from the prior quarter.
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Analysis
Fatpipe (FATN) Operating Leases (2024 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Fatpipe's Operating Leases was $682,437, down 38.7% from FY2025.
- Going back by fiscal year, Operating Leases was $1.11 million in FY2025 and $50,563 in FY2024.
- The fiscal Q1 2027 figure represents the lowest quarterly Operating Leases since fiscal Q4 2024.
- Business Quant data shows FATN's Operating Leases at $682,437 (Q4 2026), $800,033 (Q3 2026) and $905,401 (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn |
| 10 | Fatpipe | 73.17 Mn | 51.25 Mn | 4.64 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 575,899.00 |
| Mar 31, 2026 | 682,437.00 |
| Dec 31, 2025 | 800,033.00 |
| Sep 30, 2025 | 905,401.00 |
| Jun 30, 2025 | 1.02 Mn |
| Mar 31, 2025 | 1.11 Mn |
| Mar 31, 2024 | 50,563.00 |
API Access
Fatpipe 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=FATN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "FATN", "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=FATN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();