System1 (SST) Cash & Equivalents (2020 - 2026)
System1 (SST) posted Cash & Equivalents of $40.5 million for Q2 2026, down 36.4% from $63.65 million a year earlier and down 21.4% from the prior quarter.
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Analysis
System1 (SST) Cash & Equivalents (2020 - 2026) Analysis & Trends
At the end of FY2025, System1's Cash & Equivalents came in at $86.89 million, up 36.6% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 152.7% (FY2020 to FY2025).
- In prior years, System1's Cash & Equivalents was $63.61 million in FY2024 (-53.0%), $135.34 million in FY2023, $8.91 million in FY2022 (-81.4%) and $47.9 million in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Cash & Equivalents since Q3 2023.
- On a year-over-year basis, Cash & Equivalents increased in two of the last seven quarters, with an average decline of 15.6%.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q1 2024, with growth of 745.8%; the weakest was Q4 2022, with a decline of 81.4%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $51.51 million (Q1 2026), $86.89 million (Q4 2025) and $54.59 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,109.95 Bn | 3,867.48 Bn | 73.85 Bn | 55.91 Bn |
| 2 | Netflix | 282.52 Bn | 242.72 Bn | 6.52 Bn | 9.10 Bn |
| 3 | Alibaba Group Holding | 249.53 Bn | 67.40 Bn | 15.11 Bn | 21.06 Bn |
| 4 | Shopify | 193.10 Bn | 170.29 Bn | 1.71 Bn | 1.66 Bn |
| 5 | Uber Technologies | 138.52 Bn | 110.49 Bn | 6.38 Bn | 4.87 Bn |
| 6 | Booking Holdings | 120.43 Bn | 53.48 Bn | - | 17.21 Bn |
| 7 | PDD Holdings | 108.89 Bn | -143.04 Bn | 9.45 Bn | 19.00 Bn |
| 8 | Spotify Technology | 101.14 Bn | 58.37 Bn | 1.86 Bn | 6.90 Bn |
| 9 | Airbnb | 94.68 Bn | 47.91 Bn | 2.98 Bn | 6.82 Bn |
| 10 | System1 | 26.48 Mn | -233.34 Mn | 24.27 Mn | 40.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 40.50 Mn |
| Mar 31, 2026 | 51.51 Mn |
| Dec 31, 2025 | 86.89 Mn |
| Sep 30, 2025 | 54.59 Mn |
| Jun 30, 2025 | 63.65 Mn |
| Mar 31, 2025 | 43.91 Mn |
| Dec 31, 2024 | 63.61 Mn |
| Sep 30, 2024 | 69.09 Mn |
| Jun 30, 2024 | 75.65 Mn |
| Mar 31, 2024 | 69.92 Mn |
| Dec 31, 2023 | 135.34 Mn |
| Sep 30, 2023 | 4.85 Mn |
| Jun 30, 2023 | 15.45 Mn |
| Mar 31, 2023 | 8.27 Mn |
| Dec 31, 2022 | 8.91 Mn |
| Sep 30, 2022 | 16.53 Mn |
| Jun 30, 2022 | 37.44 Mn |
| Mar 31, 2022 | 42.18 Mn |
| Dec 31, 2021 | 47.90 Mn |
| Sep 30, 2021 | 36.21 Mn |
API Access
System1 Cash & Equivalents 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=cash-and-equivalents&ticker=SST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();