GBT Technologies Inc. (GTCH) Net Margin (2010 - 2023)
GBT Technologies (GTCH) recorded Net Margin of -7482.61% in Q2 2023, down 6485.12 percentage points from -997.49% a year earlier and down 4897.62 percentage points from the prior quarter.
GBT Technologies Inc. (GTCH) Net Margin (2010 - 2023) Analysis & Trends
For FY2022, GBT Technologies reported Net Margin of 5915.40%, up 24765.64 percentage points from FY2021.
- Annual Net Margin has a five-year change of +6027.31 percentage points (FY2017 to FY2022).
- Across earlier years, Net Margin came in at -18850.24% in FY2021 (-8853.08 pp), -9997.16% in FY2020 (-9029.66 pp), -967.50% in FY2019 (-610.66 pp) and -356.84% in FY2018 (-244.93 pp).
- The Q2 2023 figure is the lowest quarterly Net Margin since Q1 2021.
- On a year-over-year basis, Net Margin rose in three of the last six quarters, with an average year-over-year change of +2362.58 percentage points.
- Peak year-over-year performance for Net Margin in the last five years was a gain of 91283.89 percentage points in Q3 2020, against a drop of 91356.01 percentage points in Q3 2019 at the low end.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -7,482.61% |
| Mar 31, 2023 | -2,584.99% |
| Sep 30, 2022 | 3,934.36% |
| Jun 30, 2022 | -997.49% |
| Mar 31, 2022 | 1,454.32% |
| Dec 31, 2021 | -2,391.64% |
| Sep 30, 2021 | -955.40% |
| Mar 31, 2021 | -11,945.80% |
| Dec 31, 2020 | -9,034.19% |
| Sep 30, 2020 | -722.89% |
| Jun 30, 2020 | -88.27% |
| Mar 31, 2020 | -232.32% |
| Dec 31, 2019 | -142.88% |
| Sep 30, 2019 | -92,006.77% |
| Jun 30, 2019 | -2,086.12% |
| Mar 31, 2019 | -176.52% |
| Dec 31, 2018 | -97.97% |
| Sep 30, 2018 | -650.76% |
| Jun 30, 2018 | -55.65% |
| Mar 31, 2018 | -178.48% |
GBT Technologies Inc. Net Margin 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=net-margin&ticker=GTCH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=GTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();