System1 (SST) Total Liabilities (2020 - 2026)
System1's Total Liabilities was $344.38 million in Q2 2026, down 8.4% from $375.81 million a year earlier and down 4.2% from the prior quarter.
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Analysis
System1 (SST) Total Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Total Liabilities at System1 came in at $374.51 million, up 0.1% from FY2024.
- Total Liabilities shows a five-year compound annual growth rate of -9.0% (FY2020 to FY2025).
- In earlier years, Total Liabilities was $374.13 million in FY2024 (-14.2%), $436.16 million in FY2023 (-36.8%), $689.79 million in FY2022 (+141.8%) and $285.31 million in FY2021 (-52.4%).
- Quarterly Total Liabilities has moved between $285.31 million (Q4 2021) and $817.87 million (Q1 2022) over five years.
- Compared with a year earlier, Total Liabilities was higher in two of the last eight quarters, with an average decline of 9.8%.
- The best year-over-year quarter for Total Liabilities over five years was Q4 2022 (growth of 141.8%); the worst was Q4 2021 (a decline of 52.4%).
- Per Business Quant data, SST's Total Liabilities in the three quarters before Q2 2026 was $359.35 million (Q1 2026), $374.51 million (Q4 2025) and $342.48 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 281.50 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 188.74 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 28.30 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 125.68 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 1.79 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 37.58 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 40.47 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 31.67 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 5.11 Bn |
| 10 | System1 | 27.60 Mn | -232.22 Mn | 24.27 Mn | 344.38 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 344.38 Mn |
| Mar 31, 2026 | 359.35 Mn |
| Dec 31, 2025 | 374.51 Mn |
| Sep 30, 2025 | 342.48 Mn |
| Jun 30, 2025 | 375.81 Mn |
| Mar 31, 2025 | 351.50 Mn |
| Dec 31, 2024 | 374.13 Mn |
| Sep 30, 2024 | 376.47 Mn |
| Jun 30, 2024 | 382.06 Mn |
| Mar 31, 2024 | 360.65 Mn |
| Dec 31, 2023 | 436.16 Mn |
| Sep 30, 2023 | 687.40 Mn |
| Jun 30, 2023 | 681.80 Mn |
| Mar 31, 2023 | 670.84 Mn |
| Dec 31, 2022 | 689.79 Mn |
| Sep 30, 2022 | 698.31 Mn |
| Jun 30, 2022 | 780.54 Mn |
| Mar 31, 2022 | 817.87 Mn |
| Dec 31, 2021 | 285.31 Mn |
| Sep 30, 2021 | 575.17 Mn |
API Access
System1 Total 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-liabilities&ticker=SST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=SST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();