System1 (SST) Short-Term Debt repayments (2021 - 2023)
System1 (SST) recorded Short-Term Debt repayments of $5 million in Q3 2023, unchanged from $5 million a year earlier and unchanged from the prior quarter.
System1 (SST) Short-Term Debt repayments (2021 - 2023) Analysis & Trends
On a TTM basis, System1's Short-Term Debt repayments came in at $20 million as of Sep 30, 2023, down 89.1% year-over-year; for FY2022, it came in at $187.49 million.
- Across earlier years, Short-Term Debt repayments came in at $11.64 million in FY2021.
- Quarterly Short-Term Debt repayments has ranged from $1.75 million in Q3 2021 to $172.49 million in Q1 2022 over the past five years.
- On a year-over-year basis, Short-Term Debt repayments rose in two of the last six quarters, with growth averaging 39.3%.
- Per Business Quant, the preceding three quarters came in at $5 million (Q2 2023), $5 million (Q1 2023) and $5 million (Q4 2022).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ST Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,973.98 Bn | 3,731.51 Bn | 73.85 Bn | - |
| 2 | Meta Platforms | 1,653.64 Bn | 1,356.16 Bn | 49.47 Bn | - |
| 3 | Netflix | 281.37 Bn | 241.57 Bn | 6.52 Bn | - |
| 4 | Alibaba Group Holding | 237.44 Bn | 51.21 Bn | 15.11 Bn | - |
| 5 | Shopify | 221.16 Bn | 198.34 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 139.31 Bn | 111.11 Bn | 6.38 Bn | - |
| 7 | Booking Holdings | 124.47 Bn | 57.52 Bn | - | - |
| 8 | Spotify Technology | 117.20 Bn | 74.70 Bn | 1.86 Bn | - |
| 9 | PDD Holdings | 111.33 Bn | -132.44 Bn | 9.45 Bn | - |
| 10 | System1 | 18.12 Mn | -215.37 Mn | 24.27 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | -65.00 Mn |
| Sep 30, 2023 | 5.00 Mn |
| Jun 30, 2023 | 5.00 Mn |
| Mar 31, 2023 | 5.00 Mn |
| Dec 31, 2022 | -182.49 Mn |
| Sep 30, 2022 | 5.00 Mn |
| Jun 30, 2022 | 5.00 Mn |
| Mar 31, 2022 | 172.49 Mn |
| Dec 31, 2021 | 1.75 Mn |
| Sep 30, 2021 | 1.75 Mn |
| Jun 30, 2021 | 8.14 Mn |
System1 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=SST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "short-term-debt-repayments", "ticker": "SST", "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=SST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();