Synopsys (SNPS) Exchange Rate Effect (2009 - 2026)
Synopsys' Exchange Rate Effect was $3.43 million in fiscal Q1 2026 (quarter ended Jan 31, 2026), compared with -$9.68 million a year earlier.
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Analysis
Synopsys (SNPS) Exchange Rate Effect (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Synopsys' Exchange Rate Effect was $15 million through Jan 31, 2026; for FY2025 (ended Oct 31, 2025), it came in at $1.9 million, down 78.4% from FY2024.
- Exchange Rate Effect shows a five-year compound annual growth rate of -35.6% (FY2020 to FY2025).
- In earlier fiscal years, Exchange Rate Effect was $8.8 million in FY2024, -$2.98 million in FY2023, -$65.3 million in FY2022 and $2.37 million in FY2021 (-86.2%).
- Quarterly Exchange Rate Effect has moved between -$27.14 million (fiscal Q4 2022) and $35.68 million (fiscal Q1 2023) over five years.
- Per Business Quant data, SNPS's Exchange Rate Effect in the three fiscal quarters before Q1 2026 was -$6.75 million (Q4 2025), $463,000 (Q3 2025) and $17.86 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Nvidia | 5,515.53 Bn | 5,289.69 Bn | 72.14 Bn | - |
| 2 | Taiwan Semiconductor Manufacturing | 2,348.76 Bn | 1,974.46 Bn | 27.22 Bn | -231.60 Mn |
| 3 | Broadcom | 1,668.85 Bn | 1,594.89 Bn | 20.46 Bn | - |
| 4 | Micron Technology | 1,189.94 Bn | 1,128.71 Bn | 35.06 Bn | 3.00 Mn |
| 5 | Advanced Micro Devices | 992.04 Bn | 948.79 Bn | 6.20 Bn | - |
| 6 | Asml Holding | 682.73 Bn | 638.57 Bn | 5.90 Bn | - |
| 7 | Intel | 585.14 Bn | 469.87 Bn | 6.51 Bn | - |
| 8 | Lam Research | 393.49 Bn | 370.29 Bn | 3.48 Bn | -2.06 Mn |
| 9 | Applied Materials | 386.29 Bn | 351.73 Bn | 4.59 Bn | - |
| 10 | Synopsys | 80.02 Bn | 76.41 Bn | 1.80 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2026 | 3.43 Mn |
| Oct 31, 2025 | -6.75 Mn |
| Jul 31, 2025 | 463,000.00 |
| Apr 30, 2025 | 17.86 Mn |
| Jan 31, 2025 | -9.68 Mn |
| Oct 31, 2024 | 3.34 Mn |
| Jul 31, 2024 | 3.04 Mn |
| Apr 30, 2024 | -6.90 Mn |
| Jan 31, 2024 | 9.32 Mn |
| Oct 31, 2023 | -17.98 Mn |
| Jul 31, 2023 | -12.71 Mn |
| Apr 30, 2023 | -7.97 Mn |
| Jan 31, 2023 | 35.68 Mn |
| Oct 31, 2022 | -27.14 Mn |
| Jul 31, 2022 | -18.20 Mn |
| Apr 30, 2022 | -18.24 Mn |
| Jan 31, 2022 | -1.72 Mn |
| Oct 31, 2021 | -616,000.00 |
| Jul 31, 2021 | -3.47 Mn |
| Apr 30, 2021 | -3.54 Mn |
API Access
Synopsys 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=SNPS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "SNPS", "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=SNPS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();