Lantronix (LTRX) Non-Current Debt (2011 - 2026)
Lantronix's Non-Current Debt was $8.69 million in fiscal Q3 2026 (quarter ended Mar 31, 2026), down 8.1% from $9.46 million a year earlier and down 10.2% from the prior quarter.
Lantronix (LTRX) Non-Current Debt (2011 - 2026) Analysis & Trends
At the end of FY2025 (ended Jun 30, 2025), Non-Current Debt at Lantronix came in at $8.68 million, down 34.3% from FY2024.
- Non-Current Debt shows a five-year compound annual growth rate of 18.7% (FY2020 to FY2025).
- In earlier fiscal years, Non-Current Debt was $13.22 million in FY2024 (-18.5%), $16.22 million in FY2023 (+13.6%), $14.27 million in FY2022 (+545.9%) and $2.21 million in FY2021 (-40.0%).
- Quarterly Non-Current Debt has moved between $2.21 million (fiscal Q4 2021) and $27.08 million (fiscal Q1 2022) over five years.
- Compared with a year earlier, Non-Current Debt has declined for 11 straight quarters, with an average decline of 20.6% over the last eight quarters.
- The best year-over-year quarter for Non-Current Debt over five years was fiscal Q2 2022 (growth of 800.2%); the worst was fiscal Q4 2021 (a decline of 40.0%).
- Per Business Quant data, LTRX's Non-Current Debt in the three fiscal quarters before Q3 2026 was $9.68 million (Q2 2026), $10.66 million (Q1 2026) and $8.68 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 71.34 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 19.37 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 25.99 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 | 3.38 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | - |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 6.23 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 17.34 Bn |
| 10 | Lantronix | 336.41 Mn | 207.27 Mn | 13.61 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 8.69 Mn |
| Dec 31, 2025 | 9.68 Mn |
| Sep 30, 2025 | 10.66 Mn |
| Jun 30, 2025 | 8.68 Mn |
| Mar 31, 2025 | 9.46 Mn |
| Dec 31, 2024 | 11.63 Mn |
| Sep 30, 2024 | 12.41 Mn |
| Jun 30, 2024 | 13.22 Mn |
| Mar 31, 2024 | 13.97 Mn |
| Dec 31, 2023 | 14.72 Mn |
| Sep 30, 2023 | 15.47 Mn |
| Jun 30, 2023 | 16.22 Mn |
| Mar 31, 2023 | 16.97 Mn |
| Dec 31, 2022 | 17.72 Mn |
| Sep 30, 2022 | 18.47 Mn |
| Jun 30, 2022 | 14.27 Mn |
| Mar 31, 2022 | 14.69 Mn |
| Dec 31, 2021 | 26.52 Mn |
| Sep 30, 2021 | 27.08 Mn |
| Jun 30, 2021 | 2.21 Mn |
Lantronix Non-Current Debt 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=non-current-debt&ticker=LTRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=LTRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();