Lantronix (LTRX) Total Liabilities (2011 - 2026)
Lantronix's Total Liabilities was $41.06 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 16.8% from $49.34 million a year earlier and down 9.9% from the prior quarter.
Lantronix (LTRX) Total Liabilities (2011 - 2026) Analysis & Trends
From fiscal Q4 2011 onward, Lantronix has reported Total Liabilities for 61 quarters.
- Total Liabilities has now declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 9.2% (FY2021 to FY2026).
- In earlier fiscal years, Total Liabilities was $49.34 million in FY2025 (-10.0%), $54.85 million in FY2024 (-25.9%), $74.07 million in FY2023 (+28.9%) and $57.48 million in FY2022 (+117.1%).
- The fiscal Q4 2026 figure marks the lowest quarterly Total Liabilities since fiscal Q4 2021.
- Compared with a year earlier, Total Liabilities has declined for ten straight quarters, with an average decline of 18.6% over the last eight quarters.
- The best year-over-year quarter for Total Liabilities over five years was fiscal Q1 2022 (growth of 172.8%); the worst was fiscal Q3 2025 (a decline of 29.7%).
- Per Business Quant data, LTRX's Total Liabilities in the three fiscal quarters before Q4 2026 was $45.55 million (Q3 2026), $47.31 million (Q2 2026) and $45.12 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,994.27 Bn | 4,741.76 Bn | 54.77 Bn | 275.75 Bn |
| 2 | Cisco Systems | 422.58 Bn | 358.50 Bn | 11.06 Bn | 79.35 Bn |
| 3 | Dell Technologies | 300.79 Bn | 256.55 Bn | 9.83 Bn | 128.82 Bn |
| 4 | Arista Networks | 228.37 Bn | 181.83 Bn | 1.91 Bn | 8.92 Bn |
| 5 | Sandisk | 203.50 Bn | 192.02 Bn | 7.58 Bn | 6.77 Bn |
| 6 | Sony | 149.61 Bn | 86.87 Bn | 6.53 Bn | 44.91 Bn |
| 7 | Seagate Technology Holdings | 147.99 Bn | 142.98 Bn | 1.90 Bn | 7.81 Bn |
| 8 | Western Digital | 124.04 Bn | 112.16 Bn | 2.03 Bn | 5.00 Bn |
| 9 | Hewlett Packard Enterprise | 75.17 Bn | 53.05 Bn | 4.93 Bn | 57.02 Bn |
| 10 | Lantronix | 235.65 Mn | 106.52 Mn | 13.61 Mn | 41.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 41.06 Mn |
| Mar 31, 2026 | 45.55 Mn |
| Dec 31, 2025 | 47.31 Mn |
| Sep 30, 2025 | 45.12 Mn |
| Jun 30, 2025 | 49.34 Mn |
| Mar 31, 2025 | 48.72 Mn |
| Dec 31, 2024 | 56.31 Mn |
| Sep 30, 2024 | 58.93 Mn |
| Jun 30, 2024 | 54.85 Mn |
| Mar 31, 2024 | 69.31 Mn |
| Dec 31, 2023 | 74.85 Mn |
| Sep 30, 2023 | 75.41 Mn |
| Jun 30, 2023 | 74.07 Mn |
| Mar 31, 2023 | 73.46 Mn |
| Dec 31, 2022 | 68.27 Mn |
| Sep 30, 2022 | 70.39 Mn |
| Jun 30, 2022 | 57.48 Mn |
| Mar 31, 2022 | 55.95 Mn |
| Dec 31, 2021 | 57.97 Mn |
| Sep 30, 2021 | 59.55 Mn |
Lantronix 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=LTRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "LTRX", "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=LTRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();