Globalstar (GSAT) Short-Term Debt repayments (2015 - 2023)
Globalstar's Short-Term Debt repayments was $148.28 million in FY2023, compared with $6.34 million in FY2022.
Analysis
Globalstar (GSAT) Short-Term Debt repayments (2015 - 2023) Analysis & Trends
From FY2014 onward, Globalstar has reported Short-Term Debt repayments for 10 years.
- Short-Term Debt repayments shows a five-year compound annual growth rate of 13.7% (FY2018 to FY2023).
- Annual Short-Term Debt repayments has moved between $3.37 million (FY2020) and $199.03 million (FY2019) over five years.
- Per Business Quant data, Short-Term Debt repayments in earlier years was $6.34 million in FY2022 (-96.6%), $186.99 million in FY2021, $3.37 million in FY2020 (-98.3%) and $199.03 million in FY2019 (+155.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Verizon Communications | 193.06 Bn | 159.40 Bn | 27.05 Bn | - |
| 2 | T-Mobile US | 170.80 Bn | 153.23 Bn | 15.13 Bn | - |
| 3 | At&T | 148.73 Bn | 90.20 Bn | 26.22 Bn | - |
| 4 | Grupo Televisa, S.A.B | 141.38 Bn | 141.38 Bn | 310.59 Mn | - |
| 5 | Comcast | 87.77 Bn | 53.56 Bn | - | - |
| 6 | Vodafone Group Public | 38.44 Bn | 7.84 Bn | - | - |
| 7 | Chunghwa Telecom | 37.91 Bn | 29.92 Bn | 728.80 Mn | -31.01 Mn |
| 8 | EchoStar | 25.79 Bn | 6.83 Bn | 647.20 Mn | - |
| 9 | Bce | 20.05 Bn | 18.17 Bn | 3.38 Bn | - |
| 10 | Globalstar | 10.76 Bn | 9.20 Bn | 37.78 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2023 | 148.28 Mn |
| Sep 30, 2022 | 6.34 Mn |
| Dec 31, 2021 | 60.33 Mn |
| Sep 30, 2021 | 37.50 Mn |
| Jun 30, 2021 | 84.81 Mn |
| Mar 31, 2021 | 4.36 Mn |
| Sep 30, 2020 | 3.10 Mn |
| Mar 31, 2020 | 276,000.00 |
| Dec 31, 2019 | 151.59 Mn |
| Jun 30, 2019 | 47.44 Mn |
| Dec 31, 2018 | 38.93 Mn |
| Dec 31, 2017 | 54.06 Mn |
| Dec 31, 2016 | 16.42 Mn |
| Dec 31, 2015 | 3.23 Mn |
API Access
Globalstar Short-Term Debt repayments 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=short-term-debt-repayments&ticker=GSAT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "ticker": "GSAT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=short-term-debt-repayments&ticker=GSAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();