System1 (SST) Interest Expenses (2021 - 2026)
System1 (SST) reported Interest Expenses of $7.12 million for Q2 2026, unchanged from $7.12 million a year earlier and up 7.3% from the prior quarter.
System1 (SST) Interest Expenses (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, System1's Interest Expenses came in at $27.1 million, down 9.4% year-over-year; for FY2025, it came in at $27.56 million, down 12.7% from FY2024.
- Interest Expenses has a four-year compound annual growth rate of 13.1% (FY2021 to FY2025).
- By year, Interest Expenses came in at $31.56 million in FY2024 (-35.3%), $48.75 million in FY2023 (+54.2%), $31.61 million in FY2022 (+87.4%) and $16.87 million in FY2021.
- Five-year quarterly Interest Expenses spans a low of $4.16 million in Q4 2021 and a high of $13.05 million in Q3 2023.
- The high point for year-over-year Interest Expenses in five years was Q1 2023 (growth of 138.7%); the low point was Q3 2024 (a decline of 39.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $6.63 million (Q1 2026), $6.3 million (Q4 2025) and $7.05 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,180.92 Bn | 3,938.44 Bn | 73.85 Bn | - |
| 2 | Meta Platforms | 1,847.76 Bn | 1,550.28 Bn | 49.47 Bn | - |
| 3 | Netflix | 289.73 Bn | 249.92 Bn | 6.52 Bn | 175.69 Mn |
| 4 | Alibaba Group Holding | 249.81 Bn | 67.68 Bn | 15.11 Bn | -345.42 Mn |
| 5 | Shopify | 192.08 Bn | 169.26 Bn | 1.71 Bn | - |
| 6 | Uber Technologies | 139.76 Bn | 111.74 Bn | 6.38 Bn | 127.00 Mn |
| 7 | Booking Holdings | 122.41 Bn | 55.46 Bn | - | 300.00 Mn |
| 8 | PDD Holdings | 110.94 Bn | -140.99 Bn | 9.45 Bn | - |
| 9 | Spotify Technology | 100.32 Bn | 57.56 Bn | 1.86 Bn | -24.41 Mn |
| 10 | System1 | 26.68 Mn | -233.14 Mn | 24.27 Mn | 7.12 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.12 Mn |
| Mar 31, 2026 | 6.63 Mn |
| Dec 31, 2025 | 6.30 Mn |
| Sep 30, 2025 | 7.05 Mn |
| Jun 30, 2025 | 7.12 Mn |
| Mar 31, 2025 | 7.09 Mn |
| Dec 31, 2024 | 7.76 Mn |
| Sep 30, 2024 | 7.96 Mn |
| Jun 30, 2024 | 7.87 Mn |
| Mar 31, 2024 | 7.97 Mn |
| Dec 31, 2023 | 11.96 Mn |
| Sep 30, 2023 | 13.05 Mn |
| Jun 30, 2023 | 12.33 Mn |
| Mar 31, 2023 | 11.40 Mn |
| Dec 31, 2022 | 9.62 Mn |
| Sep 30, 2022 | 9.73 Mn |
| Jun 30, 2022 | 7.32 Mn |
| Mar 31, 2022 | 4.78 Mn |
| Dec 31, 2021 | 4.16 Mn |
| Sep 30, 2021 | 4.18 Mn |
System1 Interest 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=interest-expenses&ticker=SST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=SST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();