GlobalTech (GLTKD) Total Non-Current Liabilities (2021 - 2026)
GlobalTech (GLTKD) posted Total Non-Current Liabilities of $9.25 million for Q2 2026, up 88.1% from $4.92 million a year earlier and up 12.0% from the prior quarter.
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Analysis
GlobalTech (GLTKD) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, GlobalTech's Total Non-Current Liabilities came in at $8.02 million, up 68.9% from FY2024.
- Annual Total Non-Current Liabilities shows a four-year compound annual growth rate of -40.4% (FY2021 to FY2025).
- In prior years, GlobalTech's Total Non-Current Liabilities was $4.75 million in FY2024 (-35.2%), $7.33 million in FY2023 (-28.5%), $10.25 million in FY2022 (-83.8%) and $63.45 million in FY2021.
- The Q2 2026 figure stands as the highest quarterly Total Non-Current Liabilities since Q1 2023.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last three quarters, with growth averaging 14.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q2 2026, with growth of 88.1%; the weakest was Q4 2022, with a decline of 83.8%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $8.26 million (Q1 2026), $8.02 million (Q4 2025) and $5.91 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 190.70 Bn | 155.11 Bn | 27.03 Bn | 242.78 Bn |
| 2 | T-Mobile US | 175.28 Bn | 160.03 Bn | 14.76 Bn | 133.73 Bn |
| 3 | At&T | 167.47 Bn | 115.42 Bn | 25.82 Bn | 190.02 Bn |
| 4 | Grupo Televisa, S.A.B | 141.87 Bn | 130.50 Bn | 318.12 Mn | 1.39 Bn |
| 5 | Comcast | 76.96 Bn | 41.21 Bn | - | 146.48 Bn |
| 6 | Chunghwa Telecom | 35.31 Bn | 31.16 Bn | 728.80 Mn | 18.63 Mn |
| 7 | EchoStar | 25.94 Bn | 17.08 Bn | 1.65 Bn | 21.41 Bn |
| 8 | AST SpaceMobile | 22.90 Bn | 23.41 Bn | 7.95 Mn | 3.42 Bn |
| 9 | Bce | 18.99 Bn | 17.31 Bn | - | 33.67 Bn |
| 10 | GlobalTech | 754.47 Mn | 793.82 Mn | 3.88 Mn | 9.25 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.25 Mn |
| Mar 31, 2026 | 8.26 Mn |
| Dec 31, 2025 | 8.02 Mn |
| Sep 30, 2025 | 5.91 Mn |
| Jun 30, 2025 | 4.92 Mn |
| Mar 31, 2025 | 5.05 Mn |
| Dec 31, 2024 | 4.75 Mn |
| Sep 30, 2024 | 6.72 Mn |
| Jun 30, 2024 | 6.61 Mn |
| Mar 31, 2024 | 7.01 Mn |
| Dec 31, 2023 | 7.33 Mn |
| Sep 30, 2023 | 7.28 Mn |
| Jun 30, 2023 | 6.78 Mn |
| Mar 31, 2023 | 38.37 Mn |
| Dec 31, 2022 | 10.25 Mn |
| Dec 31, 2021 | 63.45 Mn |
API Access
GlobalTech Total Non-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-non-current-liabilities&ticker=GLTKD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "GLTKD", "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-non-current-liabilities&ticker=GLTKD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();