Odysight.ai (ODYS) Accumulated Expenses (2023 - 2025)
Odysight.ai's Accumulated Expenses was $209,000 in Q4 2025, down 19.9% from $261,000 a year earlier and down 53.9% from the prior quarter.
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Analysis
Odysight.ai (ODYS) Accumulated Expenses (2023 - 2025) Analysis & Trends
From Q4 2023 onward, Odysight.ai has reported Accumulated Expenses for 7 quarters.
- In earlier years, Accumulated Expenses was $261,000 in FY2024 (+97.7%) and $132,000 in FY2023.
- Quarterly Accumulated Expenses has moved between $132,000 (Q4 2023) and $453,000 (Q3 2025) over five years.
- Per Business Quant data, ODYS's Accumulated Expenses in the three quarters before Q4 2025 was $453,000 (Q3 2025), $326,000 (Q2 2025) and $378,000 (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn |
| 10 | Odysight.ai | 49.73 Mn | -75.22 Mn | 177,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 209,000.00 |
| Sep 30, 2025 | 453,000.00 |
| Jun 30, 2025 | 326,000.00 |
| Mar 31, 2025 | 378,000.00 |
| Dec 31, 2024 | 261,000.00 |
| Sep 30, 2024 | 209,000.00 |
| Dec 31, 2023 | 132,000.00 |
API Access
Odysight.ai Accumulated 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=accumulated-expenses&ticker=ODYS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=ODYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();