System1 (SST) Other Operating Expenses (2020 - 2026)
System1 (SST) recorded Other Operating Expenses of $23.95 million in Q2 2026, down 68.7% from $76.51 million a year earlier and down 66.5% from the prior quarter.
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Analysis
System1 (SST) Other Operating Expenses (2020 - 2026) Analysis & Trends
On a TTM basis, System1's Other Operating Expenses came in at $206.34 million as of Jun 30, 2026, down 33.5% year-over-year; for FY2025, it came in at $258.48 million, down 27.2% from FY2024.
- Annual Other Operating Expenses has declined for three straight years, though with a five-year compound annual growth rate of 217.1% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $355.21 million in FY2024 (-17.9%), $432.85 million in FY2023 (-57.5%), $1.02 billion in FY2022 and $3.16 million in FY2021 (+292.1%).
- The Q2 2026 figure is the lowest quarterly Other Operating Expenses since Q4 2020.
- On a year-over-year basis, Other Operating Expenses rose in 1 of the last eight quarters, with an average decline of 26.7%.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 239.4% in Q3 2022, against a decline of 80.6% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $71.48 million (Q1 2026), $50.73 million (Q4 2025) and $60.17 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Alphabet | 3,505.75 Bn | 3,240.65 Bn | 76.16 Bn |
| 2 | Meta Platforms | 1,636.37 Bn | 1,300.89 Bn | 51.23 Bn |
| 3 | Netflix | 264.79 Bn | 226.09 Bn | 6.80 Bn |
| 4 | Alibaba Group Holding | 244.49 Bn | 58.13 Bn | 15.16 Bn |
| 5 | Shopify | 196.00 Bn | 174.81 Bn | 1.78 Bn |
| 6 | Uber Technologies | 145.16 Bn | 115.98 Bn | 6.42 Bn |
| 7 | AppLovin | 136.87 Bn | 125.40 Bn | 1.94 Bn |
| 8 | Spotify Technology | 125.04 Bn | 81.96 Bn | 1.89 Bn |
| 9 | Booking Holdings | 122.68 Bn | 56.42 Bn | - |
| 10 | System1 | 14.21 Mn | -219.28 Mn | 24.27 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 23.95 Mn |
| Mar 31, 2026 | 71.48 Mn |
| Dec 31, 2025 | 50.73 Mn |
| Sep 30, 2025 | 60.17 Mn |
| Jun 30, 2025 | 76.51 Mn |
| Mar 31, 2025 | 71.07 Mn |
| Dec 31, 2024 | 69.69 Mn |
| Sep 30, 2024 | 93.18 Mn |
| Jun 30, 2024 | 102.44 Mn |
| Mar 31, 2024 | 90.80 Mn |
| Dec 31, 2023 | 102.90 Mn |
| Sep 30, 2023 | 96.86 Mn |
| Jun 30, 2023 | 103.40 Mn |
| Mar 31, 2023 | 130.49 Mn |
| Dec 31, 2022 | 180.59 Mn |
| Sep 30, 2022 | 500.27 Mn |
| Jun 30, 2022 | 234.01 Mn |
| Mar 31, 2022 | 190.39 Mn |
| Dec 31, 2021 | 177.55 Mn |
| Sep 30, 2021 | 147.41 Mn |
API Access
System1 Other Operating Expenses 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=other-operating-expenses&ticker=SST&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=SST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();