Ituran Location & Control (ITRN) Operating Expenses (2009 - 2026)
Ituran Location & Control's Operating Expenses was $24.07 million in Q2 2026, up 19.2% from $20.19 million a year earlier and up 7.8% from the prior quarter.
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Analysis
Ituran Location & Control (ITRN) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Ituran Location & Control's Operating Expenses was $90.38 million through Jun 30, 2026, up 18.6% year-over-year; for FY2025, it came in at $83.26 million, up 12.0% from FY2024.
- Operating Expenses has now increased for four consecutive years, with a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $74.33 million in FY2024 (+1.0%), $73.62 million in FY2023 (+12.3%), $65.55 million in FY2022 (+8.9%) and $60.22 million in FY2021 (-3.6%).
- The Q2 2026 figure marks the highest quarterly Operating Expenses in data going back to Q1 2009.
- Compared with a year earlier, Operating Expenses has increased for seven straight quarters, with growth averaging 10.2% over the last eight quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q3 2025 (growth of 23.6%); the worst was Q3 2024 (a decline of 6.6%).
- Per Business Quant data, ITRN's Operating Expenses in the three quarters before Q2 2026 was $22.33 million (Q1 2026), $22.02 million (Q4 2025) and $21.95 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Bryn | 945.00 Bn | 945.00 Bn | - | 178,646.00 |
| 2 | Veeva Systems | 46.20 Bn | 18.45 Bn | 695.95 Mn | 420.93 Mn |
| 3 | Samsara | 22.32 Bn | 19.09 Bn | 392.58 Mn | 387.71 Mn |
| 4 | Toast | 16.73 Bn | 9.40 Bn | 516.00 Mn | 364.00 Mn |
| 5 | Ptc | 15.53 Bn | 14.35 Bn | 490.47 Mn | 323.96 Mn |
| 6 | Duolingo | 13.32 Bn | 8.49 Bn | 216.74 Mn | 182.80 Mn |
| 7 | Trimble | 13.32 Bn | 12.38 Bn | 674.90 Mn | 542.90 Mn |
| 8 | Manhattan Associates | 11.58 Bn | 10.58 Bn | 168.33 Mn | 231.56 Mn |
| 9 | Costar | 11.10 Bn | 5.07 Bn | 728.00 Mn | 652.00 Mn |
| 10 | Ituran Location & Control | 1.01 Bn | 609.46 Mn | 53.35 Mn | 24.07 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.07 Mn |
| Mar 31, 2026 | 22.33 Mn |
| Dec 31, 2025 | 22.02 Mn |
| Sep 30, 2025 | 21.95 Mn |
| Jun 30, 2025 | 20.19 Mn |
| Mar 31, 2025 | 19.10 Mn |
| Dec 31, 2024 | 19.15 Mn |
| Sep 30, 2024 | 17.75 Mn |
| Jun 30, 2024 | 18.45 Mn |
| Mar 31, 2024 | 18.98 Mn |
| Dec 31, 2023 | 18.55 Mn |
| Sep 30, 2023 | 19.01 Mn |
| Jun 30, 2023 | 18.66 Mn |
| Mar 31, 2023 | 17.41 Mn |
| Dec 31, 2022 | 17.19 Mn |
| Sep 30, 2022 | 16.53 Mn |
| Jun 30, 2022 | 15.98 Mn |
| Mar 31, 2022 | 15.85 Mn |
| Dec 31, 2021 | 16.32 Mn |
| Sep 30, 2021 | 15.05 Mn |
API Access
Ituran Location & Control Operating Expenses 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=operating-expenses&ticker=ITRN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=ITRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();