Spectral Capital (FCCN) Operating Expenses (2010 - 2026)
Spectral Capital (FCCN) posted Operating Expenses of $5.14 million for Q2 2026, up 954.8% from $487,000 a year earlier but down 0.6% from the prior quarter.
Spectral Capital (FCCN) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Spectral Capital was $14.97 million, up 315.6% year-over-year; for FY2025, it was $5.81 million, up 93.4% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 103.0% (FY2020 to FY2025).
- In prior years, Spectral Capital's Operating Expenses was $3 million in FY2024, $215,477 in FY2023 (-36.5%), $339,383 in FY2022 (+97.1%) and $172,230 in FY2021 (+2.3%).
- Quarterly Operating Expenses has run from a low of -$19,768 in Q4 2022 to a high of $5.17 million in Q1 2026 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last six quarters, with growth averaging 455.6% over the last six quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2026, with growth of 954.8%; the weakest was Q3 2023, with a decline of 69.2%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $5.17 million (Q1 2026), $2.98 million (Q4 2025) and $1.68 million (Q3 2025).
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 | Spectral Capital | 447.76 Mn | 437.05 Mn | 3.28 Mn | 5.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.14 Mn |
| Mar 31, 2026 | 5.17 Mn |
| Dec 31, 2025 | 2.98 Mn |
| Sep 30, 2025 | 1.68 Mn |
| Jun 30, 2025 | 487,000.00 |
| Mar 31, 2025 | 660,000.00 |
| Dec 31, 2024 | 1.26 Mn |
| Sep 30, 2024 | 1.19 Mn |
| Jun 30, 2024 | 484,425.00 |
| Mar 31, 2024 | 64,864.00 |
| Dec 31, 2023 | 42,344.00 |
| Sep 30, 2023 | 45,722.00 |
| Jun 30, 2023 | 63,896.00 |
| Mar 31, 2023 | 63,515.00 |
| Dec 31, 2022 | -19,768.00 |
| Sep 30, 2022 | 148,447.00 |
| Jun 30, 2022 | 126,139.00 |
| Mar 31, 2022 | 84,565.00 |
| Dec 31, 2021 | 38,906.00 |
| Sep 30, 2021 | 41,049.00 |
Spectral Capital 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=FCCN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "FCCN", "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=FCCN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();