Glidelogic (GDLG) Non-Current Debt (2023 - 2026)
Glidelogic (GDLG) recorded Non-Current Debt of $5,000 in fiscal Q2 2027 (quarter ended Jul 31, 2026), unchanged from $5,000 a year earlier and unchanged from the prior quarter.
Glidelogic (GDLG) Non-Current Debt (2023 - 2026) Analysis & Trends
Starting with fiscal Q1 2024, Glidelogic's Non-Current Debt history includes 13 quarters.
- Across earlier fiscal years, Non-Current Debt came in at $5,000 in FY2025 (unchanged) and $5,000 in FY2024.
- Quarterly Non-Current Debt has ranged from $5,000 in fiscal Q3 2024 to $6,010 in fiscal Q1 2024 over the past five years.
- Over the past five years, the year-over-year decline in Non-Current Debt ranged from 0.0% (fiscal Q2 2027) to 16.8% (fiscal Q1 2025).
- Per Business Quant, the preceding three fiscal quarters came in at $5,000 (Q1 2027), $5,000 (Q4 2026) and $5,000 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 323.81 Bn | 308.88 Bn | 2.30 Bn | - |
| 2 | CrowdStrike Holdings | 271.09 Bn | 251.53 Bn | 1.10 Bn | 746.22 Mn |
| 3 | Fortinet | 131.14 Bn | 117.07 Bn | 1.64 Bn | 496.90 Mn |
| 4 | Snowflake | 119.71 Bn | 107.03 Bn | 1.04 Bn | - |
| 5 | Datadog | 98.30 Bn | 79.94 Bn | 881.34 Mn | - |
| 6 | Okta | 34.95 Bn | 25.05 Bn | 641.00 Mn | - |
| 7 | Axon Enterprise | 34.32 Bn | 28.85 Bn | 546.45 Mn | 1.73 Bn |
| 8 | Zscaler | 32.52 Bn | 18.64 Bn | - | - |
| 9 | Baidu | 29.56 Bn | -44.07 Bn | 1.47 Mn | 3.06 Bn |
| 10 | Glidelogic | 5.33 Mn | 5.32 Mn | 59,538.00 | 5,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | 5,000.00 |
| Apr 30, 2026 | 5,000.00 |
| Jan 31, 2026 | 5,000.00 |
| Oct 31, 2025 | 5,000.00 |
| Jul 31, 2025 | 5,000.00 |
| Apr 30, 2025 | 5,000.00 |
| Jan 31, 2025 | 5,000.00 |
| Oct 31, 2024 | 5,000.00 |
| Jul 31, 2024 | 5,000.00 |
| Apr 30, 2024 | 5,000.00 |
| Jan 31, 2024 | 5,000.00 |
| Oct 31, 2023 | 5,000.00 |
| Apr 30, 2023 | 6,010.00 |
Glidelogic Non-Current Debt 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=non-current-debt&ticker=GDLG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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=non-current-debt&ticker=GDLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();