Skkynet Cloud Systems (SKKY) Operating Expenses (2012 - 2026)
Skkynet Cloud Systems (SKKY) recorded Operating Expenses of $787,461 in fiscal Q3 2026 (quarter ended Jul 31, 2026), up 47.2% from $535,085 a year earlier but down 10.1% from the prior quarter.
Skkynet Cloud Systems (SKKY) Operating Expenses (2012 - 2026) Analysis & Trends
On a TTM basis, Skkynet Cloud Systems' Operating Expenses came in at $3.04 million as of Jul 31, 2026, up 21.8% year-over-year; for FY2025 (ended Oct 31, 2025), it came in at $2.56 million, up 2.2% from FY2024.
- Annual Operating Expenses has increased for three straight fiscal years, with a three-year compound annual growth rate of 4.9% (FY2022 to FY2025).
- Across earlier fiscal years, Operating Expenses came in at $2.5 million in FY2024 (+0.4%), $2.49 million in FY2023 (+12.4%) and $2.22 million in FY2022.
- Quarterly Operating Expenses has ranged from $504,060 in fiscal Q3 2022 to $875,975 in fiscal Q2 2026 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for four consecutive quarters, with growth averaging 11.3% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 47.2% in fiscal Q3 2026, against a decline of 5.4% in fiscal Q1 2024 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $875,975 (Q2 2026), $766,608 (Q1 2026) and $611,134 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 449.27 Bn | 418.33 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 417.01 Bn | 289.56 Bn | - | 12.62 Bn |
| 3 | Sap Se | 258.97 Bn | 180.05 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 185.51 Bn | 141.38 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 134.41 Bn | 112.87 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 71.93 Bn | 51.28 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.47 Bn | 57.43 Bn | - | - |
| 9 | Strategy | 54.44 Bn | 47.43 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Skkynet Cloud Systems | 23.91 Mn | 18.17 Mn | - | 787,461.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 787,461.00 |
| Apr 30, 2026 | 875,975.00 |
| Jan 31, 2026 | 766,608.00 |
| Oct 31, 2025 | 611,134.00 |
| Jul 31, 2025 | 535,085.00 |
| Apr 30, 2025 | 780,405.00 |
| Jan 31, 2025 | 629,815.00 |
| Oct 31, 2024 | 550,715.00 |
| Jul 31, 2024 | 556,274.00 |
| Apr 30, 2024 | 803,998.00 |
| Jan 31, 2024 | 592,180.00 |
| Oct 31, 2023 | 558,932.00 |
| Jul 31, 2023 | 564,157.00 |
| Apr 30, 2023 | 742,977.00 |
| Jan 31, 2023 | 625,964.00 |
| Oct 31, 2022 | 542,247.00 |
| Jul 31, 2022 | 504,060.00 |
| Apr 30, 2022 | 593,731.00 |
| Jan 31, 2022 | 577,290.00 |
| Jul 31, 2021 | 483,173.00 |
Skkynet Cloud Systems 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=SKKY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "SKKY", "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=SKKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();