Odysight.ai (ODYS) Other Operating Expenses (2013 - 2019)
Odysight.ai (ODYS) posted Other Operating Expenses of $2.32 million for Q4 2025, up 6.3% from $2.18 million a year earlier but down 6.5% from the prior quarter.
Odysight.ai (ODYS) Other Operating Expenses (2013 - 2019) Analysis & Trends
For FY2025, Odysight.ai's Other Operating Expenses came in at $7.7 million, up 43.1% from FY2024.
- Annual Other Operating Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 60.4% (FY2020 to FY2025).
- In prior years, Odysight.ai's Other Operating Expenses was $5.38 million in FY2024 (+20.4%), $4.47 million in FY2023 (+106.7%), $2.16 million in FY2022 (+152.1%) and $858,000 in FY2021 (+18.3%).
- Quarterly Other Operating Expenses has run from a low of $281,000 in Q1 2021 to a high of $2.49 million in Q1 2025 over five years.
- On a year-over-year basis, Other Operating Expenses has increased in each of the last 20 quarters, with growth averaging 33.1% over the last eight quarters.
- The year-over-year growth in Other Operating Expenses has ranged between 3.9% (Q2 2024) and 283.4% (Q4 2021) over the last five years.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was $2.48 million (Q3 2025), $2.36 million (Q2 2025) and $2.49 million (Q1 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palo Alto Networks | 274.48 Bn | 259.55 Bn | 2.30 Bn |
| 2 | CrowdStrike Holdings | 255.01 Bn | 235.42 Bn | 1.10 Bn |
| 3 | Snowflake | 106.72 Bn | 94.04 Bn | 1.04 Bn |
| 4 | Fortinet | 99.50 Bn | 99.50 Bn | - |
| 5 | Datadog | 84.07 Bn | 65.71 Bn | 881.34 Mn |
| 6 | Zscaler | 38.06 Bn | 24.18 Bn | - |
| 7 | Okta | 36.37 Bn | 26.46 Bn | 641.00 Mn |
| 8 | Axon Enterprise | 34.46 Bn | 28.98 Bn | 546.45 Mn |
| 9 | MongoDB | 28.25 Bn | 18.72 Bn | 569.77 Mn |
| 10 | Odysight.ai | 31.20 Mn | -93.75 Mn | 177,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2019 | -249,465.00 |
| Jun 30, 2019 | -187,934.00 |
| Dec 31, 2018 | 15,040.00 |
| Sep 30, 2018 | 11,224.00 |
| Jun 30, 2018 | 8,109.00 |
| Dec 31, 2017 | 2,262.00 |
| Sep 30, 2017 | 3,771.00 |
| Jun 30, 2017 | 6,466.00 |
| Mar 31, 2017 | 6,946.00 |
| Dec 31, 2016 | 4,286.00 |
| Sep 30, 2016 | 7,235.00 |
| Jun 30, 2016 | 10,608.00 |
| Mar 31, 2016 | 17,404.00 |
| Dec 31, 2015 | 8,524.00 |
| Sep 30, 2015 | 24,383.00 |
| Jun 30, 2015 | 8,444.00 |
| Mar 31, 2015 | 5,825.00 |
| Dec 31, 2014 | 3,775.00 |
| Sep 30, 2014 | 1,950.00 |
| Jun 30, 2014 | 6,200.00 |
Odysight.ai Other 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=other-operating-expenses&ticker=ODYS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=ODYS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();