GBT Technologies Inc. (GTCH) Non-Current Debt (2010 - 2026)
GBT Technologies (GTCH) recorded Non-Current Debt of $4.2 million in Q1 2023.
Analysis
GBT Technologies Inc. (GTCH) Non-Current Debt (2010 - 2026) Analysis & Trends
Peer Set
Peer Comparison
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 350,000.00 |
| Mar 31, 2026 | 350,000.00 |
| Dec 31, 2025 | 350,000.00 |
| Dec 31, 2024 | 243,740.00 |
| Jun 30, 2023 | 303,333.00 |
| Mar 31, 2023 | 353,891.00 |
| Dec 31, 2022 | 308,863.00 |
| Sep 30, 2022 | 311,804.00 |
| Jun 30, 2022 | 2.95 Mn |
| Mar 31, 2022 | 317,653.00 |
| Dec 31, 2021 | 8.15 Mn |
| Sep 30, 2021 | 150,000.00 |
| Jun 30, 2021 | 150,000.00 |
| Mar 31, 2021 | 147,506.00 |
| Dec 31, 2020 | 148,263.00 |
| Sep 30, 2020 | 149,012.00 |
| Jun 30, 2020 | 150,000.00 |
| Dec 31, 2010 | 578,768.00 |
API Access
GBT Technologies Inc. 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=GTCH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "ticker": "GTCH", "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=GTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();