CISO Global (CISO) Operating Expenses (2019 - 2026)
CISO Global (CISO) posted Operating Expenses of $2.91 million for Q2 2026, down 26.6% from $3.97 million a year earlier.
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Analysis
CISO Global (CISO) Operating Expenses (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at CISO Global was $15.02 million, down 4.8% year-over-year; for FY2025, it was $15.61 million, down 18.3% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 20.0% (FY2020 to FY2025).
- In prior years, CISO Global's Operating Expenses was $19.1 million in FY2024 (-70.9%), $65.54 million in FY2023 (+82.8%), $35.86 million in FY2022 (-13.8%) and $41.59 million in FY2021 (+562.0%).
- The Q2 2026 figure stands as the lowest quarterly Operating Expenses since Q2 2021.
- On a year-over-year basis, Operating Expenses increased in 1 of the last seven quarters, with an average decline of 25.3%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2023, with growth of 341.3%; the weakest was Q1 2024, with a decline of 84.0%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | 499.67 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | 534.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | 4.17 Bn |
| 10 | CISO Global | 9.56 Mn | 5.27 Mn | 1.42 Mn | 2.91 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.91 Mn |
| Dec 31, 2025 | 3.91 Mn |
| Sep 30, 2025 | 4.24 Mn |
| Jun 30, 2025 | 3.97 Mn |
| Mar 31, 2025 | 3.49 Mn |
| Dec 31, 2024 | 3.77 Mn |
| Sep 30, 2024 | 4.55 Mn |
| Jun 30, 2024 | 5.18 Mn |
| Mar 31, 2024 | 5.60 Mn |
| Dec 31, 2023 | 10.47 Mn |
| Sep 30, 2023 | 5.83 Mn |
| Jun 30, 2023 | 23.75 Mn |
| Mar 31, 2023 | 35.13 Mn |
| Dec 31, 2022 | 10.41 Mn |
| Sep 30, 2022 | 9.35 Mn |
| Jun 30, 2022 | 8.06 Mn |
| Mar 31, 2022 | 7.96 Mn |
| Dec 31, 2021 | 32.89 Mn |
| Sep 30, 2021 | 3.61 Mn |
| Jun 30, 2021 | 2.79 Mn |
API Access
CISO Global 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=CISO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CISO", "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=CISO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();