System1 (SST) Revenue (2021 - 2026)
System1's Revenue came in at $30.2 million for Q2 2026, down 61.3% from $78.12 million a year earlier and down 18.9% from the prior quarter.
System1 (SST) Revenue (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, System1 reported Revenue of $180.94 million, down 42.9% year-over-year; for FY2025, it was $266.13 million, down 22.6% from FY2024.
- Revenue has declined in each of the last four years, with a four-year compound annual growth rate of -21.1% (FY2021 to FY2025).
- Going back by year, Revenue was $343.93 million in FY2024 (-14.4%), $401.97 million in FY2023 (-34.3%), $612.23 million in FY2022 (-11.1%) and $688.39 million in FY2021.
- The Q2 2026 figure represents the lowest quarterly Revenue in data going back to Q1 2021.
- Year-over-year, Revenue has declined for seven consecutive quarters, with an average decline of 27.9% over the last eight quarters.
- The fastest year-over-year change in Revenue over five years came in Q2 2022 (growth of 29.6%), and the weakest in Q2 2026 (a decline of 61.3%).
- Business Quant data shows SST's Revenue at $37.23 million (Q1 2026), $51.94 million (Q4 2025) and $61.56 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | 119.80 Bn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | 60.80 Bn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | 12.56 Bn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | 39.64 Bn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | 3.58 Bn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 14.19 Bn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | 7.35 Bn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 16.56 Bn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | 1.92 Bn |
| 10 | System1 | 27.60 Mn | -232.22 Mn | 24.27 Mn | 30.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.20 Mn |
| Mar 31, 2026 | 37.23 Mn |
| Dec 31, 2025 | 51.94 Mn |
| Sep 30, 2025 | 61.56 Mn |
| Jun 30, 2025 | 78.12 Mn |
| Mar 31, 2025 | 74.51 Mn |
| Dec 31, 2024 | 75.60 Mn |
| Sep 30, 2024 | 88.83 Mn |
| Jun 30, 2024 | 94.58 Mn |
| Mar 31, 2024 | 84.92 Mn |
| Dec 31, 2023 | 96.12 Mn |
| Sep 30, 2023 | 87.82 Mn |
| Jun 30, 2023 | 96.91 Mn |
| Mar 31, 2023 | 121.12 Mn |
| Dec 31, 2022 | 140.07 Mn |
| Sep 30, 2022 | 156.90 Mn |
| Jun 30, 2022 | 219.80 Mn |
| Mar 31, 2022 | 166.11 Mn |
| Dec 31, 2021 | 199.80 Mn |
| Sep 30, 2021 | 171.45 Mn |
System1 Revenue 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=revenue&ticker=SST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();