Ituran Location & Control (ITRN) Total Liabilities (2009 - 2026)
Ituran Location & Control (ITRN) posted Total Liabilities of $182.88 million for Q2 2026, up 19.7% from $152.78 million a year earlier but down 2.4% from the prior quarter.
Ituran Location & Control (ITRN) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Ituran Location & Control's Total Liabilities came in at $161.73 million, up 19.2% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of -2.4% (FY2020 to FY2025).
- In prior years, Ituran Location & Control's Total Liabilities was $135.62 million in FY2024 (-2.0%), $138.44 million in FY2023 (+0.3%), $138.07 million in FY2022 (-11.0%) and $155.22 million in FY2021 (-15.0%).
- Quarterly Total Liabilities has run from a low of $128.36 million in Q3 2023 to a high of $187.45 million in Q1 2026 over five years.
- On a year-over-year basis, Total Liabilities has increased in each of the last six quarters, with growth averaging 13.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q1 2026, with growth of 32.9%; the weakest was Q2 2022, with a decline of 16.9%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $187.45 million (Q1 2026), $161.73 million (Q4 2025) and $157.55 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 206,169.00 |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 1.63 Bn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 1.17 Bn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 1.14 Bn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 3.04 Bn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 664.21 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 3.43 Bn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 541.14 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 2.19 Bn |
| 10 | Ituran Location & Control | 1.01 Bn | 609.46 Mn | 53.35 Mn | 182.88 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 182.88 Mn |
| Mar 31, 2026 | 187.45 Mn |
| Dec 31, 2025 | 161.73 Mn |
| Sep 30, 2025 | 157.55 Mn |
| Jun 30, 2025 | 152.78 Mn |
| Mar 31, 2025 | 141.03 Mn |
| Dec 31, 2024 | 135.62 Mn |
| Sep 30, 2024 | 132.60 Mn |
| Jun 30, 2024 | 137.09 Mn |
| Mar 31, 2024 | 138.65 Mn |
| Dec 31, 2023 | 138.44 Mn |
| Sep 30, 2023 | 128.36 Mn |
| Jun 30, 2023 | 138.48 Mn |
| Mar 31, 2023 | 140.22 Mn |
| Dec 31, 2022 | 138.07 Mn |
| Sep 30, 2022 | 141.07 Mn |
| Jun 30, 2022 | 144.37 Mn |
| Mar 31, 2022 | 161.64 Mn |
| Dec 31, 2021 | 155.22 Mn |
| Sep 30, 2021 | 167.83 Mn |
Ituran Location & Control 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=ITRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=ITRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();