Glidelogic (GDLG) Total Liabilities (2021 - 2026)
Glidelogic's Total 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.
Glidelogic (GDLG) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2026 (ended Jan 31, 2026), Total Liabilities at Glidelogic came in at $131,108, up 249.3% from FY2025.
- Total 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 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 Liabilities has moved between $5,000 (fiscal Q3 2024) and $171,593 (fiscal Q1 2027) over five years.
- Compared with a year earlier, Total 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 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 Liabilities in the three fiscal quarters before Q2 2027 was $171,593 (Q1 2027), $131,108 (Q4 2026) and $120,572 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | 20.97 Bn |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 6.89 Bn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 9.31 Bn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | 6.54 Bn |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | 3.18 Bn |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | 2.17 Bn |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 3.81 Bn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | 5.27 Bn |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 27.69 Bn |
| 10 | Glidelogic | 5.33 Mn | 5.32 Mn | 59,538.00 | 131,687.00 |
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 |
| Apr 30, 2022 | 6,010.00 |
| Jan 31, 2022 | 11,510.00 |
| Oct 31, 2021 | 10,692.00 |
Glidelogic Total 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-liabilities&ticker=GDLG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=GDLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();