System1 (SST) Exchange Rate Effect (2021 - 2026)
System1 (SST) posted Exchange Rate Effect of -$136,000 for Q2 2026, compared with -$30,000 a year earlier.
Analysis
System1 (SST) Exchange Rate Effect (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Exchange Rate Effect at System1 was -$53,000; for FY2025, it came in at $126,000.
- Annual Exchange Rate Effect shows a four-year compound annual growth rate of 32.4% (FY2021 to FY2025).
- In prior years, System1's Exchange Rate Effect was -$31,000 in FY2024, $10,000 in FY2023, -$57,000 in FY2022 and $41,000 in FY2021.
- The Q2 2026 figure stands as the lowest quarterly Exchange Rate Effect since Q3 2023.
- According to Business Quant data, Exchange Rate Effect for the three prior quarters was -$64,000 (Q1 2026), $152,000 (Q4 2025) and -$5,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Alphabet | 4,164.76 Bn | 3,922.28 Bn | 73.85 Bn | -31.00 Mn |
| 2 | Meta Platforms | 1,823.40 Bn | 1,525.92 Bn | 49.47 Bn | -7.00 Mn |
| 3 | Netflix | 288.27 Bn | 248.47 Bn | 6.52 Bn | -19.63 Mn |
| 4 | Alibaba Group Holding | 252.72 Bn | 70.58 Bn | 15.11 Bn | -224.00 Mn |
| 5 | Shopify | 186.52 Bn | 163.71 Bn | 1.71 Bn | -4.00 Mn |
| 6 | Uber Technologies | 139.11 Bn | 111.09 Bn | 6.38 Bn | 54.00 Mn |
| 7 | Booking Holdings | 123.13 Bn | 56.18 Bn | - | -111.00 Mn |
| 8 | PDD Holdings | 111.72 Bn | -140.21 Bn | 9.45 Bn | 182.40 Mn |
| 9 | AppLovin | 103.35 Bn | 93.38 Bn | 1.70 Bn | -1.55 Mn |
| 10 | System1 | 27.60 Mn | -232.22 Mn | 24.27 Mn | -136,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -136,000.00 |
| Mar 31, 2026 | -64,000.00 |
| Dec 31, 2025 | 152,000.00 |
| Sep 30, 2025 | -5,000.00 |
| Jun 30, 2025 | -30,000.00 |
| Mar 31, 2025 | 9,000.00 |
| Dec 31, 2024 | -112,000.00 |
| Sep 30, 2024 | 87,000.00 |
| Jun 30, 2024 | -7,000.00 |
| Mar 31, 2024 | 1,000.00 |
| Dec 31, 2023 | 241,000.00 |
| Sep 30, 2023 | -430,000.00 |
| Jun 30, 2023 | 243,000.00 |
| Mar 31, 2023 | -44,000.00 |
| Dec 31, 2022 | -270,000.00 |
| Sep 30, 2022 | -391,000.00 |
| Jun 30, 2022 | -1.09 Mn |
| Mar 31, 2022 | 1.70 Mn |
| Dec 31, 2021 | -322,000.00 |
| Sep 30, 2021 | -3,000.00 |
API Access
System1 Exchange Rate Effect 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=exchange-rate-effect&ticker=SST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "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=exchange-rate-effect&ticker=SST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();