System1 (SST) Goodwill & Intangibles (2020 - 2026)
System1 (SST) posted Goodwill & Intangibles of $178.41 million for Q2 2026, down 33.4% from $267.75 million a year earlier and down 2.9% from the prior quarter.
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Analysis
System1 (SST) Goodwill & Intangibles (2020 - 2026) Analysis & Trends
At the end of FY2025, System1's Goodwill & Intangibles came in at $230.5 million, down 24.4% from FY2024.
- Annual Goodwill & Intangibles has declined for three consecutive years, though with a five-year compound annual growth rate of 38.8% (FY2020 to FY2025).
- In prior years, System1's Goodwill & Intangibles was $304.75 million in FY2024 (-19.7%), $379.41 million in FY2023 (-16.4%), $454.07 million in FY2022 (+377.0%) and $95.19 million in FY2021 (+112.4%).
- The Q2 2026 figure stands as the lowest quarterly Goodwill & Intangibles since Q4 2021.
- On a year-over-year basis, Goodwill & Intangibles has declined in each of the last 14 quarters, with an average decline of 24.7% over the last eight quarters.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was Q4 2022, with growth of 377.0%; the weakest was Q2 2024, with a decline of 64.1%.
- According to Business Quant data, Goodwill & Intangibles for the three prior quarters was $183.77 million (Q1 2026), $230.5 million (Q4 2025) and $249.12 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn |
| 10 | System1 | 25.16 Mn | -234.66 Mn | 24.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 178.41 Mn |
| Mar 31, 2026 | 183.77 Mn |
| Dec 31, 2025 | 230.50 Mn |
| Sep 30, 2025 | 249.12 Mn |
| Jun 30, 2025 | 267.75 Mn |
| Mar 31, 2025 | 286.37 Mn |
| Dec 31, 2024 | 304.75 Mn |
| Sep 30, 2024 | 323.41 Mn |
| Jun 30, 2024 | 342.08 Mn |
| Mar 31, 2024 | 360.74 Mn |
| Dec 31, 2023 | 379.41 Mn |
| Sep 30, 2023 | 398.07 Mn |
| Jun 30, 2023 | 952.91 Mn |
| Mar 31, 2023 | 979.74 Mn |
| Dec 31, 2022 | 454.07 Mn |
| Sep 30, 2022 | 1.07 Bn |
| Jun 30, 2022 | 1.44 Bn |
| Mar 31, 2022 | 1.47 Bn |
| Dec 31, 2021 | 95.19 Mn |
| Dec 31, 2020 | 44.82 Mn |
API Access
System1 Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=SST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=SST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();