Skkynet Cloud Systems (SKKY) Return on Sales [ROS] (2012 - 2026)
Skkynet Cloud Systems (SKKY) recorded Return on Sales [ROS] of -40.49% in fiscal Q3 2026 (quarter ended Jul 31, 2026), down 29.63 percentage points from -10.86% a year earlier but up 4.04 percentage points from the prior quarter.
Skkynet Cloud Systems (SKKY) Return on Sales [ROS] (2012 - 2026) Analysis & Trends
On a TTM basis, Skkynet Cloud Systems' Return on Sales [ROS] came in at -28.35% as of Jul 31, 2026, down 30.83 percentage points year-over-year; for FY2025 (ended Oct 31, 2025), it was -0.25%, down 2.55 percentage points from FY2024.
- Annual Return on Sales [ROS] has a three-year change of +2.55 percentage points (FY2022 to FY2025).
- Across earlier fiscal years, Return on Sales [ROS] came in at 2.29% in FY2024 (+7.26 pp), -4.97% in FY2023 (-2.17 pp) and -2.80% in FY2022.
- Quarterly Return on Sales [ROS] has ranged from -44.53% in fiscal Q2 2026 to 23.94% in fiscal Q1 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has declined for five consecutive quarters, with an average year-over-year change of -14.74 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 33.28 percentage points in fiscal Q1 2024, against a drop of 63.48 percentage points in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at -44.53% (Q2 2026), -39.54% (Q1 2026) and 6.48% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 34.78% |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -6,808.11% |
| 10 | Skkynet Cloud Systems | 23.91 Mn | 18.17 Mn | - | -40.49% |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -40.49% |
| Apr 30, 2026 | -44.53% |
| Jan 31, 2026 | -39.54% |
| Oct 31, 2025 | 6.48% |
| Jul 31, 2025 | -10.86% |
| Apr 30, 2025 | -33.24% |
| Jan 31, 2025 | 23.94% |
| Oct 31, 2024 | 16.94% |
| Jul 31, 2024 | 16.52% |
| Apr 30, 2024 | -33.60% |
| Jan 31, 2024 | 6.08% |
| Oct 31, 2023 | 10.80% |
| Jul 31, 2023 | 10.46% |
| Apr 30, 2023 | -18.79% |
| Jan 31, 2023 | -27.20% |
| Oct 31, 2022 | 11.04% |
| Jul 31, 2022 | 4.91% |
| Apr 30, 2022 | -9.93% |
| Jan 31, 2022 | -20.98% |
| Jul 31, 2021 | 2.86% |
Skkynet Cloud Systems Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=SKKY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=SKKY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();