Glidelogic (GDLG) Operating Expenses (2021 - 2026)
Glidelogic (GDLG) posted Operating Expenses of $24,344 for fiscal Q2 2027 (quarter ended Jul 31, 2026), up 5.7% from $23,030 a year earlier but down 10.5% from the prior quarter.
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Analysis
Glidelogic (GDLG) Operating Expenses (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jul 31, 2026, Operating Expenses at Glidelogic was $107,034, up 35.7% year-over-year; for FY2026 (ended Jan 31, 2026), it came in at $93,475, up 53.2% from FY2025.
- Annual Operating Expenses has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 152.5% (FY2021 to FY2026).
- In prior fiscal years, Glidelogic's Operating Expenses was $60,999 in FY2025 (+4.9%), $58,134 in FY2024 (+22.8%), $47,334 in FY2023 (+87.5%) and $25,242 in FY2022.
- Quarterly Operating Expenses has run from a low of -$13,242 in fiscal Q2 2025 to a high of $70,613 in fiscal Q4 2023 over five years.
- On a year-over-year basis, Operating Expenses increased in five of the last seven quarters, with growth averaging 66.9%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q4 2023, with growth of 506.1%; the weakest was fiscal Q4 2024, with a decline of 79.5%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $27,212 (Q1 2027), $28,526 (Q4 2026) and $26,952 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 2.13 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 1.13 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 953.90 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 1.30 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 875.89 Mn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 534.00 Mn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 499.67 Mn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 4.17 Bn |
| 10 | Glidelogic | 5.33 Mn | 5.32 Mn | 59,538.00 | 24,344.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 24,344.00 |
| Apr 30, 2026 | 27,212.00 |
| Jan 31, 2026 | 28,526.00 |
| Oct 31, 2025 | 26,952.00 |
| Jul 31, 2025 | 23,030.00 |
| Apr 30, 2025 | 14,967.00 |
| Jan 31, 2025 | 30,636.00 |
| Oct 31, 2024 | 10,231.00 |
| Jul 31, 2024 | -13,242.00 |
| Apr 30, 2024 | 6,891.00 |
| Jan 31, 2024 | 14,459.00 |
| Oct 31, 2023 | 10,773.00 |
| Jul 31, 2023 | 24,152.00 |
| Apr 30, 2023 | 8,750.00 |
| Jan 31, 2023 | 70,613.00 |
| Oct 31, 2022 | -2,637.00 |
| Jul 31, 2022 | 17,012.00 |
| Apr 30, 2022 | 3,630.00 |
| Jan 31, 2022 | 11,650.00 |
| Oct 31, 2021 | 3,810.00 |
API Access
Glidelogic 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=GDLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=GDLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();