System1 (SST) Cost of Revenue (2021 - 2026)
System1's Cost of Revenue came in at $5.93 million for Q2 2026, down 88.2% from $50.21 million a year earlier and down 57.2% from the prior quarter.
System1 (SST) Cost of Revenue (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, System1 reported Cost of Revenue of $89.23 million, down 56.3% year-over-year; for FY2025, it came in at $165.73 million, down 31.7% from FY2024.
- Cost of Revenue has declined in each of the last four years, with a four-year compound annual growth rate of -24.9% (FY2021 to FY2025).
- Going back by year, Cost of Revenue was $242.6 million in FY2024 (-2.5%), $248.75 million in FY2023 (-43.3%), $438.84 million in FY2022 (-15.8%) and $521.11 million in FY2021.
- The Q2 2026 figure represents the lowest quarterly Cost of Revenue in data going back to Q1 2021.
- Year-over-year, Cost of Revenue has declined for seven consecutive quarters, with an average decline of 35.4% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q3 2024 (growth of 26.5%), and the weakest in Q2 2026 (a decline of 88.2%).
- Business Quant data shows SST's Cost of Revenue at $13.86 million (Q1 2026), $30.63 million (Q4 2025) and $38.82 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,173.87 Bn | 3,931.39 Bn | 73.85 Bn | 45.94 Bn |
| 2 | Meta Platforms | 1,849.67 Bn | 1,552.19 Bn | 49.47 Bn | 11.33 Bn |
| 3 | Netflix | 279.23 Bn | 239.43 Bn | 6.52 Bn | 6.04 Bn |
| 4 | Alibaba Group Holding | 245.86 Bn | 63.73 Bn | 15.11 Bn | 24.48 Bn |
| 5 | Shopify | 196.08 Bn | 173.27 Bn | 1.71 Bn | 1.88 Bn |
| 6 | Uber Technologies | 138.90 Bn | 110.88 Bn | 6.38 Bn | 7.82 Bn |
| 7 | Booking Holdings | 119.48 Bn | 52.53 Bn | - | - |
| 8 | PDD Holdings | 107.30 Bn | -144.64 Bn | 9.45 Bn | 7.08 Bn |
| 9 | Spotify Technology | 97.33 Bn | 54.56 Bn | 1.86 Bn | 3.70 Bn |
| 10 | System1 | 25.16 Mn | -234.66 Mn | 24.27 Mn | 5.93 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.93 Mn |
| Mar 31, 2026 | 13.86 Mn |
| Dec 31, 2025 | 30.63 Mn |
| Sep 30, 2025 | 38.82 Mn |
| Jun 30, 2025 | 50.21 Mn |
| Mar 31, 2025 | 46.08 Mn |
| Dec 31, 2024 | 43.78 Mn |
| Sep 30, 2024 | 64.00 Mn |
| Jun 30, 2024 | 68.51 Mn |
| Mar 31, 2024 | 66.32 Mn |
| Dec 31, 2023 | 58.55 Mn |
| Sep 30, 2023 | 50.59 Mn |
| Jun 30, 2023 | 56.66 Mn |
| Mar 31, 2023 | 82.95 Mn |
| Dec 31, 2022 | 97.15 Mn |
| Sep 30, 2022 | 111.22 Mn |
| Jun 30, 2022 | 152.56 Mn |
| Mar 31, 2022 | 120.38 Mn |
| Dec 31, 2021 | 155.28 Mn |
| Sep 30, 2021 | 128.89 Mn |
System1 Cost of 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=cost-of-revenue&ticker=SST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=SST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();