Omniq (OMQS) Operating Expenses (2010 - 2026)
Omniq's Operating Expenses came in at $3.74 million for Q2 2026, up 51.8% from $2.46 million a year earlier and up 6.1% from the prior quarter.
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Analysis
Omniq (OMQS) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Omniq reported Operating Expenses of $15.3 million, up 40.0% year-over-year; for FY2025, it came in at $12.88 million, up 5.2% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -8.3% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $12.25 million in FY2024 (-70.8%), $41.9 million in FY2023 (+32.4%), $31.66 million in FY2022 (+16.6%) and $27.15 million in FY2021 (+36.4%).
- The five-year range for quarterly Operating Expenses is $2.46 million (Q2 2025) to $21.15 million (Q4 2023).
- Year-over-year, Operating Expenses has increased for four consecutive quarters, with an average decline of 7.2% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q4 2023 (growth of 182.7%), and the weakest in Q4 2024 (a decline of 85.9%).
- Business Quant data shows OMQS's Operating Expenses at $3.52 million (Q1 2026), $4.49 million (Q4 2025) and $3.55 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 260.12 Bn | 245.19 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 232.49 Bn | 212.89 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 125.70 Bn | 111.63 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 110.19 Bn | 97.50 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 92.71 Bn | 74.35 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Zscaler | 34.07 Bn | 20.19 Bn | - | - |
| 7 | Okta | 33.06 Bn | 23.16 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Axon Enterprise | 30.90 Bn | 25.43 Bn | 546.45 Mn | 499.67 Mn |
| 9 | MongoDB | 28.04 Bn | 18.51 Bn | 569.77 Mn | 541.37 Mn |
| 10 | Omniq | 1.06 Mn | -2.17 Mn | 1.52 Mn | 3.74 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.74 Mn |
| Mar 31, 2026 | 3.52 Mn |
| Dec 31, 2025 | 4.49 Mn |
| Sep 30, 2025 | 3.55 Mn |
| Jun 30, 2025 | 2.46 Mn |
| Mar 31, 2025 | 2.61 Mn |
| Dec 31, 2024 | 2.98 Mn |
| Sep 30, 2024 | 2.88 Mn |
| Jun 30, 2024 | 2.99 Mn |
| Mar 31, 2024 | 6.32 Mn |
| Dec 31, 2023 | 21.15 Mn |
| Sep 30, 2023 | 6.63 Mn |
| Jun 30, 2023 | 6.39 Mn |
| Mar 31, 2023 | 7.73 Mn |
| Dec 31, 2022 | 7.48 Mn |
| Sep 30, 2022 | 8.63 Mn |
| Jun 30, 2022 | 8.00 Mn |
| Mar 31, 2022 | 7.54 Mn |
| Dec 31, 2021 | 7.62 Mn |
| Sep 30, 2021 | 8.89 Mn |
API Access
Omniq 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=OMQS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "OMQS", "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=OMQS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();