CISO Global (CISO) Non Operating Interest Expenses (2019 - 2026)
CISO Global (CISO) reported Non Operating Interest Expenses of $127,941 for Q2 2026, down 82.6% from $736,309 a year earlier.
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Analysis
CISO Global (CISO) Non Operating Interest Expenses (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, CISO Global's Non Operating Interest Expenses came in at $1.12 million, down 90.0% year-over-year; for FY2025, it came in at $9.2 million, up 156.7% from FY2024.
- Non Operating Interest Expenses has increased for four consecutive years, with a five-year compound annual growth rate of 251.5% (FY2020 to FY2025).
- By year, Non Operating Interest Expenses came in at $3.58 million in FY2024 (+58.1%), $2.27 million in FY2023 (+232.9%), $680,921 in FY2022 (+121.5%) and $307,363 in FY2021.
- Five-year quarterly Non Operating Interest Expenses spans a low of $43,585 in Q1 2022 and a high of $8.21 million in Q1 2025.
- Year over year, Non Operating Interest Expenses gained in four of the last seven quarters, with growth averaging 126.4%.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q1 2025 (growth of 995.3%); the low point was Q3 2025 (a decline of 89.7%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (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 | 6.05 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 3.20 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 2.08 Mn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 3.26 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | -19.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 28.10 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | -90.00 Mn |
| 10 | CISO Global | 9.56 Mn | 5.27 Mn | 1.42 Mn | 127,941.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 127,941.00 |
| Dec 31, 2025 | 124,401.00 |
| Sep 30, 2025 | 127,213.00 |
| Jun 30, 2025 | 736,309.00 |
| Mar 31, 2025 | 8.21 Mn |
| Dec 31, 2024 | 973,105.00 |
| Sep 30, 2024 | 1.24 Mn |
| Jun 30, 2024 | 623,941.00 |
| Mar 31, 2024 | 749,825.00 |
| Dec 31, 2023 | 738,450.00 |
| Sep 30, 2023 | 621,925.00 |
| Jun 30, 2023 | 648,591.00 |
| Mar 31, 2023 | 390,141.00 |
| Dec 31, 2022 | 386,930.00 |
| Sep 30, 2022 | 108,233.00 |
| Jun 30, 2022 | 64,648.00 |
| Mar 31, 2022 | 43,585.00 |
| Dec 31, 2021 | 97,557.00 |
| Sep 30, 2021 | 75,470.00 |
| Jun 30, 2021 | 65,641.00 |
API Access
CISO Global Non Operating Interest 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=non-operating-interest-expenses&ticker=CISO&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-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=non-operating-interest-expenses&ticker=CISO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();