Sports Entertainment Gaming Global (SEGG) Long-Term Debt Repayments (2020 - 2022)
Sports Entertainment Gaming Global (SEGG) posted Long-Term Debt Repayments of -$463,432 for Q4 2022, compared with $212,216 a year earlier.
Sports Entertainment Gaming Global (SEGG) Long-Term Debt Repayments (2020 - 2022) Analysis & Trends
For FY2022, Sports Entertainment Gaming Global's Long-Term Debt Repayments came in at $15,664, down 99.9% from FY2021.
- Annual Long-Term Debt Repayments shows a four-year compound annual growth rate of -55.5% (FY2018 to FY2022).
- In prior years, Sports Entertainment Gaming Global's Long-Term Debt Repayments was $11.65 million in FY2021, $890,287 in FY2020 (+109.5%), $425,000 in FY2019 (+6.3%) and $400,000 in FY2018.
- The Q4 2022 figure stands as the lowest quarterly Long-Term Debt Repayments since Q2 2021.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,519.17 Bn | 3,254.07 Bn | 76.16 Bn | 3.63 Bn |
| 2 | Meta Platforms | 1,642.70 Bn | 1,307.22 Bn | 51.23 Bn | 964.00 Mn |
| 3 | Netflix | 263.41 Bn | 224.71 Bn | 6.80 Bn | - |
| 4 | Alibaba Group Holding | 244.10 Bn | 57.73 Bn | 15.16 Bn | - |
| 5 | Shopify | 194.90 Bn | 173.71 Bn | 1.78 Bn | - |
| 6 | Uber Technologies | 144.36 Bn | 115.17 Bn | 6.42 Bn | 2.04 Bn |
| 7 | AppLovin | 136.81 Bn | 125.34 Bn | 1.94 Bn | - |
| 8 | Spotify Technology | 124.16 Bn | 81.07 Bn | 1.89 Bn | - |
| 9 | Booking Holdings | 121.90 Bn | 55.64 Bn | - | - |
| 10 | Sports Entertainment Gaming Global | 2.24 Mn | 302,353.88 | 937,454.00 | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | -463,432.00 |
| Mar 31, 2022 | 294,001.00 |
| Dec 31, 2021 | 212,216.00 |
| Sep 30, 2021 | 11.01 Mn |
| Jun 30, 2021 | -4.43 Mn |
| Mar 31, 2021 | 4.86 Mn |
| Dec 31, 2020 | 710,287.00 |
Sports Entertainment Gaming Global Long-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=long-term-debt-repayments&ticker=SEGG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "SEGG", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=SEGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();