Fatpipe (FATN) Total Liabilities (2024 - 2026)
Fatpipe's Total Liabilities came in at $8.96 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), down 22.9% from $11.62 million a year earlier and down 3.7% from the prior quarter.
Fatpipe (FATN) Total Liabilities (2024 - 2026) Analysis & Trends
At the end of FY2026 (ended Mar 31, 2026), Fatpipe's Total Liabilities was $9.31 million, down 24.7% from FY2025.
- Going back by fiscal year, Total Liabilities was $12.36 million in FY2025 (+67.4%) and $7.39 million in FY2024.
- The fiscal Q1 2027 figure represents the lowest quarterly Total Liabilities since fiscal Q4 2024.
- Business Quant data shows FATN's Total Liabilities at $9.31 million (Q4 2026), $11.22 million (Q3 2026) and $11.26 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 275.75 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 79.35 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 128.82 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 8.92 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 6.77 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 7.81 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 5.00 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 48.17 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 57.02 Bn |
| 10 | Fatpipe | 73.17 Mn | 51.25 Mn | 4.64 Mn | 8.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.96 Mn |
| Mar 31, 2026 | 9.31 Mn |
| Dec 31, 2025 | 11.22 Mn |
| Sep 30, 2025 | 11.26 Mn |
| Jun 30, 2025 | 11.62 Mn |
| Mar 31, 2025 | 12.36 Mn |
| Mar 31, 2024 | 7.39 Mn |
Fatpipe Total Liabilities 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-liabilities&ticker=FATN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FATN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();