Glidelogic (GDLG) Return on Sales [ROS] (2021 - 2026)
Glidelogic's Return on Sales [ROS] was 21.99% in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 166.51 percentage points from -144.52% a year earlier.
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Analysis
Glidelogic (GDLG) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Glidelogic's Return on Sales [ROS] was -29.68% through Jul 31, 2026, up 114.84 percentage points year-over-year; for FY2026 (ended Jan 31, 2026), it came in at -121296.10%, down 121214.36 percentage points from FY2025.
- Return on Sales [ROS] shows a four-year change of -121299.13 percentage points (FY2022 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was -81.74% in FY2025 (+12.04 pp), -93.78% in FY2024 (-87.77 pp), -6.01% in FY2023 (-9.04 pp) and 3.03% in FY2022.
- The fiscal Q2 2027 figure marks the highest quarterly Return on Sales [ROS] since fiscal Q3 2025.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last seven quarters, with an average year-over-year change of -16998.15 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q1 2026 (a gain of 2096.71 percentage points); the worst was fiscal Q4 2026 (a drop of 121107.77 percentage points).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 328.64 Bn | 313.71 Bn | 2.30 Bn | 5.04% |
| 2 | CrowdStrike Holdings | 276.50 Bn | 256.94 Bn | 1.10 Bn | -2.26% |
| 3 | Fortinet | 132.74 Bn | 118.67 Bn | 1.64 Bn | 33.66% |
| 4 | Snowflake | 120.19 Bn | 107.50 Bn | 1.04 Bn | -17.00% |
| 5 | Datadog | 99.51 Bn | 81.15 Bn | 881.34 Mn | 0.49% |
| 6 | Okta | 35.35 Bn | 25.44 Bn | 641.00 Mn | 13.29% |
| 7 | Axon Enterprise | 33.58 Bn | 28.10 Bn | 546.45 Mn | 5.17% |
| 8 | Zscaler | 32.06 Bn | 18.18 Bn | - | - |
| 9 | MongoDB | 28.84 Bn | 19.30 Bn | 569.77 Mn | 3.68% |
| 10 | Glidelogic | 4.00 Mn | 3.99 Mn | 59,538.00 | 21.99% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 21.99% |
| Jan 31, 2026 | -121,296.10% |
| Oct 31, 2025 | -793.15% |
| Jul 31, 2025 | -144.52% |
| Apr 30, 2025 | -19,337.66% |
| Jan 31, 2025 | -188.34% |
| Oct 31, 2024 | 52.53% |
| Jul 31, 2024 | -876.55% |
| Apr 30, 2024 | -21,434.38% |
| Jan 31, 2024 | -93.78% |
| Oct 31, 2023 | -13.16% |
| Jul 31, 2023 | 19.49% |
| Apr 30, 2023 | -8.12% |
| Jan 31, 2023 | -3.50% |
| Oct 31, 2022 | -1.61% |
| Jul 31, 2022 | -12.32% |
| Apr 30, 2022 | 240.44% |
| Jan 31, 2022 | 3.03% |
| Jul 31, 2021 | -22.44% |
| Apr 30, 2021 | -68.54% |
API Access
Glidelogic 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=GDLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "GDLG", "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=GDLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();