Sony (SONY) Exchange Rate Effect (2009 - 2026)
Sony's Exchange Rate Effect was $650.39 million in fiscal Q1 2027 (quarter ended Jun 30, 2026), compared with -$316.9 million a year earlier and up 185.7% from the prior quarter.
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Analysis
Sony (SONY) Exchange Rate Effect (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sony's Exchange Rate Effect was $6.31 billion through Jun 30, 2026; for FY2026 (ended Mar 31, 2026), it was $635.15 million.
- Exchange Rate Effect shows a five-year compound annual growth rate of 12.9% (FY2021 to FY2026).
- In earlier fiscal years, Exchange Rate Effect was -$127.81 million in FY2025, $572.72 million in FY2024 (-8.9%), $628.72 million in FY2023 (-25.2%) and $840.54 million in FY2022 (+142.9%).
- Quarterly Exchange Rate Effect has moved between -$2.98 billion (fiscal Q2 2025) and $3.78 billion (fiscal Q2 2026) over five years.
- The best year-over-year quarter for Exchange Rate Effect over five years was fiscal Q4 2024 (growth of 669.5%); the worst was fiscal Q4 2023 (a decline of 90.9%).
- Per Business Quant data, SONY's Exchange Rate Effect in the three fiscal quarters before Q1 2027 was $227.62 million (Q4 2026), $1.65 billion (Q3 2026) and $3.78 billion (Q2 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,064.64 Bn | 4,810.10 Bn | 54.82 Bn | - |
| 2 | Cisco Systems | 387.30 Bn | 323.23 Bn | 11.06 Bn | 28.00 Mn |
| 3 | Arista Networks | 233.88 Bn | 183.08 Bn | 2.33 Bn | 100,000.00 |
| 4 | Dell Technologies | 213.96 Bn | 169.72 Bn | 9.83 Bn | -22.00 Mn |
| 5 | Sony | 164.26 Bn | 101.68 Bn | 7.96 Bn | -1.88 Bn |
| 6 | Sandisk | 123.84 Bn | 108.67 Bn | 9.38 Bn | 4.00 Mn |
| 7 | Seagate Technology Holdings | 115.23 Bn | 110.07 Bn | 2.43 Bn | - |
| 8 | Western Digital | 108.25 Bn | 98.08 Bn | 2.53 Bn | - |
| 9 | Hewlett Packard Enterprise | 63.71 Bn | 41.65 Bn | 4.93 Bn | -30.00 Mn |
| 10 | Garmin | 55.63 Bn | 45.19 Bn | 1.26 Bn | 444,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -1.88 Bn |
| Jun 30, 2026 | 650.39 Mn |
| Mar 31, 2026 | 1.60 Bn |
| Dec 31, 2025 | 1.65 Bn |
| Sep 30, 2025 | 768.15 Mn |
| Jun 30, 2025 | -316.90 Mn |
| Mar 31, 2025 | -1.12 Bn |
| Dec 31, 2024 | 1.95 Bn |
| Sep 30, 2024 | -2.98 Bn |
| Jun 30, 2024 | 1.54 Bn |
| Mar 31, 2024 | 395.29 Mn |
| Dec 31, 2023 | -269.37 Mn |
| Sep 30, 2023 | 105.13 Mn |
| Jun 30, 2023 | 354.98 Mn |
| Mar 31, 2023 | 51.37 Mn |
| Dec 31, 2022 | -343.62 Mn |
| Sep 30, 2022 | 212.90 Mn |
| Jun 30, 2022 | 752.23 Mn |
| Mar 31, 2022 | 563.23 Mn |
| Dec 31, 2021 | 214.60 Mn |
API Access
Sony 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=SONY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "SONY", "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=SONY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();