GBT Technologies Inc. (GTCH) Restructuring Costs (2017 - 2023)
GBT Technologies' Restructuring Costs was $293,930 in Q1 2023, down 45.2% from $535,887 a year earlier and down 4.6% from the prior quarter.
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Analysis
GBT Technologies Inc. (GTCH) Restructuring Costs (2017 - 2023) Analysis & Trends
On a trailing twelve-month basis, GBT Technologies' Restructuring Costs was $1.57 million through Mar 31, 2023, up 40.6% year-over-year; for FY2022, it was $1.81 million, down 14.6% from FY2021.
- Restructuring Costs shows a five-year compound annual growth rate of -14.8% (FY2017 to FY2022).
- In earlier years, Restructuring Costs was $2.12 million in FY2021 (+14.6%), $1.85 million in FY2020, $150,000 in FY2019 (-98.6%) and $10.97 million in FY2018 (+170.7%).
- The Q1 2023 figure marks the lowest quarterly Restructuring Costs since Q1 2019.
- Per Business Quant data, GTCH's Restructuring Costs in the three quarters before Q1 2023 was $308,125 (Q4 2022), $378,226 (Q3 2022) and $592,305 (Q2 2022).
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Historic Data
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Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 293,930.00 |
| Dec 31, 2022 | 308,125.00 |
| Sep 30, 2022 | 378,226.00 |
| Jun 30, 2022 | 592,305.00 |
| Mar 31, 2022 | 535,887.00 |
| Mar 31, 2021 | 582,724.00 |
| Mar 31, 2019 | 150,000.00 |
| Jun 30, 2018 | 1.38 Mn |
| Mar 31, 2018 | 9.59 Mn |
| Sep 30, 2017 | 4.05 Mn |
API Access
GBT Technologies Inc. Restructuring Costs 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=restructuring-costs&ticker=GTCH&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=GTCH&period=max&api_key=YOUR_API_KEY");
const data = await res.json();