Ituran Location & Control (ITRN) Total Non-Current Liabilities (2010 - 2026)
Ituran Location & Control's Total Non-Current Liabilities was $60.52 million in Q2 2026, down 59.8% from $150.45 million a year earlier and down 67.5% from the prior quarter.
Ituran Location & Control (ITRN) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Ituran Location & Control came in at $57.62 million, up 20.3% from FY2024.
- Total Non-Current Liabilities has now increased for three consecutive years, though with a five-year compound annual growth rate of -3.8% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $47.9 million in FY2024 (+4.2%), $45.98 million in FY2023 (+1.9%), $45.1 million in FY2022 (-11.7%) and $51.09 million in FY2021 (-26.9%).
- Quarterly Total Non-Current Liabilities has moved between $45.1 million (Q4 2022) and $186.26 million (Q1 2026) over five years.
- Compared with a year earlier, Total Non-Current Liabilities was higher in four of the last five quarters, with growth averaging 47.5%.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q3 2025 (growth of 238.6%); the worst was Q2 2026 (a decline of 59.8%).
- Per Business Quant data, ITRN's Total Non-Current Liabilities in the three quarters before Q2 2026 was $186.26 million (Q1 2026), $57.62 million (Q4 2025) and $155.16 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | - |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 1.60 Bn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 1.15 Bn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 1.10 Bn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 2.94 Bn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | - |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 3.15 Bn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 528.94 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 2.16 Bn |
| 10 | Ituran Location & Control | 1.01 Bn | 609.46 Mn | 53.35 Mn | 60.52 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 60.52 Mn |
| Mar 31, 2026 | 186.26 Mn |
| Dec 31, 2025 | 57.62 Mn |
| Sep 30, 2025 | 155.16 Mn |
| Jun 30, 2025 | 150.45 Mn |
| Mar 31, 2025 | 138.91 Mn |
| Dec 31, 2024 | 47.90 Mn |
| Sep 30, 2024 | 45.83 Mn |
| Dec 31, 2023 | 45.98 Mn |
| Dec 31, 2022 | 45.10 Mn |
| Mar 31, 2022 | 163.89 Mn |
| Dec 31, 2021 | 51.09 Mn |
| Mar 31, 2021 | 176.61 Mn |
| Dec 31, 2020 | 69.85 Mn |
| Dec 31, 2019 | 102.26 Mn |
| Dec 31, 2018 | 108.90 Mn |
| Jun 30, 2018 | 14.77 Mn |
| Dec 31, 2017 | 16.18 Mn |
| Jun 30, 2017 | 76.04 Mn |
| Dec 31, 2016 | 13.72 Mn |
Ituran Location & Control Total Non-Current 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-non-current-liabilities&ticker=ITRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "ITRN", "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-non-current-liabilities&ticker=ITRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();