System1 (SST) Selling, General & Administrative (2021 - 2026)
System1 (SST) reported Selling, General & Administrative of $14.54 million for Q2 2026, down 17.0% from $17.51 million a year earlier and down 13.4% from the prior quarter.
System1 (SST) Selling, General & Administrative (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, System1's Selling, General & Administrative came in at $66.93 million, down 3.5% year-over-year; for FY2025, it came in at $69.69 million, down 8.8% from FY2024.
- Selling, General & Administrative has a four-year compound annual growth rate of 18.1% (FY2021 to FY2025).
- By year, Selling, General & Administrative came in at $76.41 million in FY2024 (+40.7%), $54.31 million in FY2023 (+6.8%), $50.83 million in FY2022 (+41.9%) and $35.81 million in FY2021.
- The Q2 2026 figure ranks as the lowest quarterly Selling, General & Administrative since Q4 2023.
- Year over year, Selling, General & Administrative gained in four of the last eight quarters, with growth averaging 5.6%.
- The high point for year-over-year Selling, General & Administrative in five years was Q2 2022 (growth of 166.8%); the low point was Q2 2025 (a decline of 17.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $16.79 million (Q1 2026), $18.65 million (Q4 2025) and $16.95 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 3,505.75 Bn | 3,240.65 Bn | 76.16 Bn | 6.14 Bn |
| 2 | Meta Platforms | 1,636.37 Bn | 1,300.89 Bn | 51.23 Bn | 14.86 Bn |
| 3 | Netflix | 264.79 Bn | 226.09 Bn | 6.80 Bn | 466.37 Mn |
| 4 | Alibaba Group Holding | 244.49 Bn | 58.13 Bn | 15.16 Bn | 1.87 Bn |
| 5 | Shopify | 196.00 Bn | 174.81 Bn | 1.78 Bn | 130.00 Mn |
| 6 | Uber Technologies | 145.16 Bn | 115.98 Bn | 6.42 Bn | 1.05 Bn |
| 7 | AppLovin | 136.87 Bn | 125.40 Bn | 1.94 Bn | 64.46 Mn |
| 8 | Spotify Technology | 125.04 Bn | 81.96 Bn | 1.89 Bn | 165.66 Mn |
| 9 | Booking Holdings | 122.68 Bn | 56.42 Bn | - | 338.00 Mn |
| 10 | System1 | 14.21 Mn | -219.28 Mn | 24.27 Mn | 14.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.54 Mn |
| Mar 31, 2026 | 16.79 Mn |
| Dec 31, 2025 | 18.65 Mn |
| Sep 30, 2025 | 16.95 Mn |
| Jun 30, 2025 | 17.51 Mn |
| Mar 31, 2025 | 16.57 Mn |
| Dec 31, 2024 | 17.81 Mn |
| Sep 30, 2024 | 17.47 Mn |
| Jun 30, 2024 | 21.22 Mn |
| Mar 31, 2024 | 19.91 Mn |
| Dec 31, 2023 | 12.30 Mn |
| Sep 30, 2023 | 11.81 Mn |
| Jun 30, 2023 | 15.34 Mn |
| Mar 31, 2023 | 14.86 Mn |
| Dec 31, 2022 | 13.87 Mn |
| Sep 30, 2022 | 11.57 Mn |
| Jun 30, 2022 | 16.75 Mn |
| Mar 31, 2022 | 15.09 Mn |
| Dec 31, 2021 | 14.65 Mn |
| Sep 30, 2021 | 7.94 Mn |
System1 Selling, General & Administrative 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=selling-general-and-administrative&ticker=SST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();