Mind Cti Ltd (MNDO) Operating Expenses (2009 - 2026)
Mind Cti's Operating Expenses was $1.86 million in Q2 2026, down 1.1% from $1.88 million a year earlier but up 2.4% from the prior quarter.
Mind Cti Ltd (MNDO) Operating Expenses (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Mind Cti's Operating Expenses was $7.5 million through Jun 30, 2026, up 5.5% year-over-year; for FY2025, it came in at $7.84 million, up 23.2% from FY2024.
- Operating Expenses has now increased for three consecutive years, with a five-year compound annual growth rate of 3.0% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $6.36 million in FY2024 (+4.0%), $6.12 million in FY2023 (+2.2%), $5.98 million in FY2022 (-15.2%) and $7.05 million in FY2021 (+4.4%).
- Quarterly Operating Expenses has moved between $1.39 million (Q1 2023) and $2.14 million (Q1 2025) over five years.
- Compared with a year earlier, Operating Expenses was higher in five of the last eight quarters, with growth averaging 9.9%.
- The best year-over-year quarter for Operating Expenses over five years was Q1 2025 (growth of 38.2%); the worst was Q2 2022 (a decline of 20.3%).
- Per Business Quant data, MNDO's Operating Expenses in the three quarters before Q2 2026 was $1.82 million (Q1 2026), $1.9 million (Q4 2025) and $1.91 million (Q3 2025).
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.86 Mn |
| Mar 31, 2026 | 1.82 Mn |
| Dec 31, 2025 | 1.90 Mn |
| Sep 30, 2025 | 1.91 Mn |
| Jun 30, 2025 | 1.88 Mn |
| Mar 31, 2025 | 2.14 Mn |
| Dec 31, 2024 | 1.57 Mn |
| Sep 30, 2024 | 1.51 Mn |
| Jun 30, 2024 | 1.73 Mn |
| Mar 31, 2024 | 1.55 Mn |
| Dec 31, 2023 | 1.62 Mn |
| Sep 30, 2023 | 1.46 Mn |
| Jun 30, 2023 | 1.64 Mn |
| Mar 31, 2023 | 1.39 Mn |
| Dec 31, 2022 | 1.57 Mn |
| Sep 30, 2022 | 1.40 Mn |
| Jun 30, 2022 | 1.55 Mn |
| Mar 31, 2022 | 1.46 Mn |
| Dec 31, 2021 | 1.67 Mn |
| Sep 30, 2021 | 1.73 Mn |
Mind Cti Ltd 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=MNDO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "MNDO", "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=MNDO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();