Glidelogic (GDLG) Total Current Liabilities (2021 - 2026)
Glidelogic's Total Current Liabilities was $131,687 in fiscal Q2 2027 (quarter ended Jul 31, 2026), up 55.6% from $84,631 a year earlier but down 23.3% from the prior quarter.
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Analysis
Glidelogic (GDLG) Total Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Total Current Liabilities at Glidelogic came in at $131,108, up 249.3% from FY2025.
- Total Current Liabilities has now increased for three consecutive fiscal years, with a four-year compound annual growth rate of 83.7% (FY2022 to FY2026).
- In earlier fiscal years, Total Current Liabilities was $37,534 in FY2025 (+153.9%), $14,782 in FY2024 (+146.0%), $6,010 in FY2023 (-47.8%) and $11,510 in FY2022.
- Quarterly Total Current Liabilities has moved between $5,000 (fiscal Q3 2024) and $171,593 (fiscal Q1 2027) over five years.
- Compared with a year earlier, Total Current Liabilities has increased for eight straight quarters, with growth averaging 222.5% over the last eight quarters.
- The best year-over-year quarter for Total Current Liabilities over five years was fiscal Q3 2026 (growth of 444.8%); the worst was fiscal Q4 2023 (a decline of 47.8%).
- Per Business Quant data, GDLG's Total Current Liabilities in the three fiscal quarters before Q2 2027 was $171,593 (Q1 2027), $131,108 (Q4 2026) and $120,572 (Q3 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 9.92 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 4.43 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 4.84 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 3.72 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 1.87 Bn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 2.03 Bn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 1.40 Bn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 2.96 Bn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 13.13 Bn |
| 10 | Glidelogic | 5.33 Mn | 5.32 Mn | 59,538.00 | 131,687.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 131,687.00 |
| Apr 30, 2026 | 171,593.00 |
| Jan 31, 2026 | 131,108.00 |
| Oct 31, 2025 | 120,572.00 |
| Jul 31, 2025 | 84,631.00 |
| Apr 30, 2025 | 63,611.00 |
| Jan 31, 2025 | 37,534.00 |
| Oct 31, 2024 | 22,132.00 |
| Jul 31, 2024 | 32,721.00 |
| Apr 30, 2024 | 20,814.00 |
| Jan 31, 2024 | 14,782.00 |
| Oct 31, 2023 | 5,000.00 |
| Apr 30, 2023 | 6,010.00 |
| Jan 31, 2023 | 6,010.00 |
| Oct 31, 2022 | 6,010.00 |
| Jul 31, 2022 | 6,010.00 |
| Jan 31, 2022 | 11,510.00 |
| Oct 31, 2021 | 8,510.00 |
API Access
Glidelogic Total Current Liabilities 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=total-current-liabilities&ticker=GDLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=GDLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();