SideChannel (SDCH) Operating Expenses (2010 - 2026)
SideChannel (SDCH) recorded Operating Expenses of $1.29 million in fiscal Q2 2026 (quarter ended Mar 31, 2026), up 28.8% from $1 million a year earlier but down 1.4% from the prior quarter.
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Analysis
SideChannel (SDCH) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, SideChannel's Operating Expenses came in at $4.71 million as of Mar 31, 2026, up 8.9% year-over-year; for FY2024 (ended Sep 30, 2024), it was $4.47 million, down 58.4% from FY2023.
- Annual Operating Expenses has a five-year compound annual growth rate of -8.3% (FY2019 to FY2024).
- Across earlier fiscal years, Operating Expenses came in at $10.75 million in FY2023 (-22.8%), $13.92 million in FY2022, $752,000 in FY2021 (-89.2%) and $6.97 million in FY2020 (+1.2%).
- Quarterly Operating Expenses has ranged from -$1.52 million in fiscal Q4 2021 to $12.94 million in fiscal Q4 2022 over the past five years.
- On a year-over-year basis, Operating Expenses rose in three of the last seven quarters, with an average decline of 10.3%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 493.5% in fiscal Q1 2023, against a decline of 80.6% in fiscal Q4 2024 at the low end.
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 | SideChannel | 6.86 Mn | 6.09 Mn | 843,000.00 | 1.29 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 1.29 Mn |
| Dec 31, 2025 | 1.31 Mn |
| Jun 30, 2025 | 1.10 Mn |
| Mar 31, 2025 | 1.00 Mn |
| Dec 31, 2024 | 1.08 Mn |
| Sep 30, 2024 | 1.18 Mn |
| Jun 30, 2024 | 1.06 Mn |
| Mar 31, 2024 | 1.13 Mn |
| Dec 31, 2023 | 1.10 Mn |
| Sep 30, 2023 | 6.11 Mn |
| Jun 30, 2023 | 1.57 Mn |
| Mar 31, 2023 | 1.60 Mn |
| Dec 31, 2022 | 1.47 Mn |
| Sep 30, 2022 | 12.94 Mn |
| Jun 30, 2022 | 457,000.00 |
| Mar 31, 2022 | 270,000.00 |
| Dec 31, 2021 | 248,000.00 |
| Sep 30, 2021 | -1.52 Mn |
| Jun 30, 2021 | 366,632.00 |
| Mar 31, 2021 | 1.10 Mn |
API Access
SideChannel 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=SDCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SDCH", "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=SDCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();