System1 (SST) Total Non-Current Liabilities (2021 - 2026)
System1 (SST) recorded Total Non-Current Liabilities of $342.72 million in Q2 2026, down 7.3% from $369.77 million a year earlier and down 4.5% from the prior quarter.
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Analysis
System1 (SST) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, System1 reported Total Non-Current Liabilities of $373.99 million, up 1.7% from FY2024.
- Annual Total Non-Current Liabilities has a four-year compound annual growth rate of 7.1% (FY2021 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $367.78 million in FY2024 (-15.2%), $433.47 million in FY2023 (-36.4%), $681.99 million in FY2022 (+139.8%) and $284.34 million in FY2021.
- Quarterly Total Non-Current Liabilities has ranged from $284.34 million in Q4 2021 to $777.1 million in Q1 2022 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in two of the last eight quarters, with an average decline of 9.6%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 139.8% in Q4 2022, against a decline of 46.2% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $358.8 million (Q1 2026), $373.99 million (Q4 2025) and $336.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,126.42 Bn | 3,883.94 Bn | 73.85 Bn | 261.69 Bn |
| 2 | Meta Platforms | 1,763.57 Bn | 1,466.09 Bn | 49.47 Bn | 166.27 Bn |
| 3 | Netflix | 287.17 Bn | 247.37 Bn | 6.52 Bn | 25.59 Bn |
| 4 | Alibaba Group Holding | 252.08 Bn | 65.86 Bn | 15.11 Bn | 122.05 Bn |
| 5 | Shopify | 224.54 Bn | 201.72 Bn | 1.71 Bn | 326.00 Mn |
| 6 | Uber Technologies | 140.28 Bn | 112.08 Bn | 6.38 Bn | 37.14 Bn |
| 7 | Booking Holdings | 125.81 Bn | 58.86 Bn | - | 39.77 Bn |
| 8 | PDD Holdings | 114.10 Bn | -129.68 Bn | 9.45 Bn | 428.00 Mn |
| 9 | Spotify Technology | 108.24 Bn | 65.74 Bn | 1.86 Bn | 6.10 Bn |
| 10 | System1 | 17.39 Mn | -216.10 Mn | 24.27 Mn | 342.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 342.72 Mn |
| Mar 31, 2026 | 358.80 Mn |
| Dec 31, 2025 | 373.99 Mn |
| Sep 30, 2025 | 336.26 Mn |
| Jun 30, 2025 | 369.77 Mn |
| Mar 31, 2025 | 345.08 Mn |
| Dec 31, 2024 | 367.78 Mn |
| Sep 30, 2024 | 366.95 Mn |
| Jun 30, 2024 | 374.44 Mn |
| Mar 31, 2024 | 357.16 Mn |
| Dec 31, 2023 | 432.54 Mn |
| Sep 30, 2023 | 683.79 Mn |
| Jun 30, 2023 | 666.27 Mn |
| Mar 31, 2023 | 658.12 Mn |
| Dec 31, 2022 | 680.33 Mn |
| Sep 30, 2022 | 678.53 Mn |
| Jun 30, 2022 | 761.14 Mn |
| Mar 31, 2022 | 771.51 Mn |
| Dec 31, 2021 | 284.34 Mn |
API Access
System1 Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();