System1 (SST) Long-Term Debt Repayments (2021 - 2026)
System1 (SST) recorded Long-Term Debt Repayments of $7.5 million in Q2 2026, up 50.0% from $5 million a year earlier and unchanged from the prior quarter.
Powered by 
Analysis
System1 (SST) Long-Term Debt Repayments (2021 - 2026) Analysis & Trends
On a TTM basis, System1's Long-Term Debt Repayments came in at $25 million as of Jun 30, 2026, up 25.0% year-over-year; for FY2025, it was $20 million, down 67.6% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 166.1% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $61.79 million in FY2024 (+208.9%), $20 million in FY2023 (-89.3%), $187.49 million in FY2022 and $1.5 million in FY2021 (+900.0%).
- Quarterly Long-Term Debt Repayments has ranged from -$24 million in Q4 2023 to $187.49 million in Q4 2022 over the past five years.
- On a year-over-year basis, Long-Term Debt Repayments rose in two of the last seven quarters, with an average decline of 7.4%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 821.4% in Q1 2024, against a decline of 89.1% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $7.5 million (Q1 2026), $5 million (Q4 2025) and $5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,977.99 Bn | 3,735.52 Bn | 73.85 Bn | 3.78 Bn |
| 2 | Meta Platforms | 1,673.42 Bn | 1,375.94 Bn | 49.47 Bn | 962.00 Mn |
| 3 | Netflix | 279.11 Bn | 239.31 Bn | 6.52 Bn | - |
| 4 | Alibaba Group Holding | 237.07 Bn | 50.84 Bn | 15.11 Bn | - |
| 5 | Shopify | 220.77 Bn | 197.95 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 139.70 Bn | 111.50 Bn | 6.38 Bn | 2.04 Bn |
| 7 | Booking Holdings | 125.22 Bn | 58.27 Bn | - | 1.00 Bn |
| 8 | Spotify Technology | 117.67 Bn | 75.17 Bn | 1.86 Bn | - |
| 9 | PDD Holdings | 110.57 Bn | -133.21 Bn | 9.45 Bn | - |
| 10 | System1 | 18.04 Mn | -215.45 Mn | 24.27 Mn | 7.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.50 Mn |
| Mar 31, 2026 | 7.50 Mn |
| Dec 31, 2025 | 5.00 Mn |
| Sep 30, 2025 | 5.00 Mn |
| Jun 30, 2025 | 5.00 Mn |
| Mar 31, 2025 | 5.00 Mn |
| Dec 31, 2024 | 5.00 Mn |
| Sep 30, 2024 | 5.00 Mn |
| Jun 30, 2024 | 5.72 Mn |
| Mar 31, 2024 | 46.07 Mn |
| Dec 31, 2023 | -31.15 Mn |
| Sep 30, 2023 | 15.00 Mn |
| Jun 30, 2023 | 39.00 Mn |
| Mar 31, 2023 | 5.00 Mn |
| Dec 31, 2022 | 187.49 Mn |
| Jun 30, 2021 | -250,000.00 |
| Mar 31, 2021 | 1.75 Mn |
API Access
System1 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=SST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-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=long-term-debt-repayments&ticker=SST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();