Odysight.ai (ODYS) Operating Expenses (2013 - 2025)
Odysight.ai (ODYS) reported Operating Expenses of $3.88 million for Q4 2025, up 1.9% from $3.81 million a year earlier but down 6.4% from the prior quarter.
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Analysis
Odysight.ai (ODYS) Operating Expenses (2013 - 2025) Analysis & Trends
For FY2025, Odysight.ai posted Operating Expenses of $16.77 million, up 33.7% from FY2024.
- Operating Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 34.9% (FY2020 to FY2025).
- By year, Operating Expenses came in at $12.55 million in FY2024 (+23.0%), $10.2 million in FY2023 (+28.5%), $7.94 million in FY2022 (+5.5%) and $7.52 million in FY2021 (+100.1%).
- Five-year quarterly Operating Expenses spans a low of $1.21 million in Q1 2021 and a high of $4.7 million in Q1 2025.
- Year over year, Operating Expenses has now increased in each of the last 12 quarters, with growth averaging 30.3% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q3 2021 (growth of 178.5%); the low point was Q4 2022 (a decline of 36.9%).
- Per Business Quant data, the three quarters before Q4 2025 came in at $4.15 million (Q3 2025), $3.94 million (Q2 2025) and $4.7 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 534.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 499.67 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 4.17 Bn |
| 10 | Odysight.ai | 49.73 Mn | -75.22 Mn | 177,000.00 | 3.88 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 3.88 Mn |
| Sep 30, 2025 | 4.15 Mn |
| Jun 30, 2025 | 3.94 Mn |
| Mar 31, 2025 | 4.70 Mn |
| Dec 31, 2024 | 3.81 Mn |
| Sep 30, 2024 | 3.07 Mn |
| Jun 30, 2024 | 2.65 Mn |
| Mar 31, 2024 | 2.91 Mn |
| Dec 31, 2023 | 2.70 Mn |
| Sep 30, 2023 | 2.45 Mn |
| Jun 30, 2023 | 2.52 Mn |
| Mar 31, 2023 | 2.36 Mn |
| Dec 31, 2022 | 1.49 Mn |
| Sep 30, 2022 | 1.86 Mn |
| Jun 30, 2022 | 2.19 Mn |
| Mar 31, 2022 | 2.24 Mn |
| Dec 31, 2021 | 2.36 Mn |
| Sep 30, 2021 | 2.15 Mn |
| Jun 30, 2021 | 1.76 Mn |
| Mar 31, 2021 | 1.21 Mn |
API Access
Odysight.ai 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=ODYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "ODYS", "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=ODYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();