GBT Technologies Inc. (GTCH) EBT Margin (2010 - 2023)
GBT Technologies (GTCH) recorded EBT Margin of -7513.78% in Q2 2023, down 6516.29 percentage points from -997.49% a year earlier and down 4927.48 percentage points from the prior quarter.
GBT Technologies Inc. (GTCH) EBT Margin (2010 - 2023) Analysis & Trends
For FY2022, GBT Technologies reported EBT Margin of 5960.93%, up 24811.17 percentage points from FY2021.
- Annual EBT Margin has a five-year change of +6072.84 percentage points (FY2017 to FY2022).
- Across earlier years, EBT Margin came in at -18850.24% in FY2021 (-8305.98 pp), -10544.26% in FY2020 (-9575.17 pp), -969.09% in FY2019 (-614.95 pp) and -354.14% in FY2018 (-242.23 pp).
- The Q2 2023 figure is the lowest quarterly EBT Margin since Q1 2021.
- On a year-over-year basis, EBT Margin rose in four of the last six quarters, with an average year-over-year change of +2728.77 percentage points.
- Peak year-over-year performance for EBT Margin in the last five years was a gain of 91289.13 percentage points in Q3 2020, against a drop of 93590.49 percentage points in Q3 2019 at the low end.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -7,513.78% |
| Mar 31, 2023 | -2,586.30% |
| Sep 30, 2022 | 3,937.95% |
| 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 | -2,948.91% |
| Jun 30, 2020 | -89.15% |
| Mar 31, 2020 | -231.10% |
| Dec 31, 2019 | -142.27% |
| Sep 30, 2019 | -94,238.04% |
| Jun 30, 2019 | -2,084.35% |
| Mar 31, 2019 | -169.18% |
| Dec 31, 2018 | -92.62% |
| Sep 30, 2018 | -647.56% |
| Jun 30, 2018 | -55.65% |
| Mar 31, 2018 | -178.48% |
GBT Technologies Inc. EBT 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=ebt-margin&ticker=GTCH&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebt-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=ebt-margin&ticker=GTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();