Cycurion (CYCU) Non Operating Interest Expenses (2024 - 2026)
Cycurion's Non Operating Interest Expenses was $227,941 in Q2 2026, down 63.0% from $615,392 a year earlier.
Cycurion (CYCU) Non Operating Interest Expenses (2024 - 2026) Analysis & Trends
On a trailing twelve-month basis, Cycurion's Non Operating Interest Expenses was $1.81 million through Jun 30, 2026, up 40.5% year-over-year; for FY2025, it came in at $1.76 million, up 45.8% from FY2024.
- In earlier years, Non Operating Interest Expenses was $1.21 million in FY2024 (-41.7%) and $2.07 million in FY2023.
- The Q2 2026 figure marks the lowest quarterly Non Operating Interest Expenses since Q1 2025.
- Compared with a year earlier, Non Operating Interest Expenses was higher in three of the last five quarters, with growth averaging 22.2%.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Infosys | 51.35 Bn | -77.91 Bn | 1.60 Bn | 12.00 Mn |
| 2 | Cognizant Technology Solutions | 30.16 Bn | 24.12 Bn | 1.91 Bn | 19.00 Mn |
| 3 | Wipro | 22.58 Bn | 17.72 Bn | 745.00 Mn | -57.00 Mn |
| 4 | Cdw | 19.64 Bn | 16.54 Bn | 1.39 Bn | - |
| 5 | Cgi | 18.54 Bn | 16.34 Bn | - | 22.08 Mn |
| 6 | Td Synnex | 17.34 Bn | 11.50 Bn | 1.43 Bn | - |
| 7 | Arrow Electronics | 9.29 Bn | 8.24 Bn | 1.13 Bn | - |
| 8 | EPAM Systems | 8.17 Bn | 4.08 Bn | 445.94 Mn | - |
| 9 | ExlService Holdings | 6.55 Bn | 5.35 Bn | 241.14 Mn | 6.34 Mn |
| 10 | Cycurion | 2.71 Mn | -10.10 Mn | 1.09 Mn | 227,941.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 227,941.00 |
| Dec 31, 2025 | 257,174.00 |
| Sep 30, 2025 | 712,374.00 |
| Jun 30, 2025 | 615,392.00 |
| Mar 31, 2025 | 178,890.00 |
| Dec 31, 2024 | 176,006.00 |
| Sep 30, 2024 | 319,666.00 |
| Jun 30, 2024 | 482,355.00 |
| Mar 31, 2024 | 231,475.00 |
Cycurion 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=CYCU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "CYCU", "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=CYCU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();