Microsoft (MSFT) Exchange Rate Effect (2009 - 2026)
Microsoft's (MSFT) quarterly Exchange Rate Effect came in at -$1.0 million in Q2 2026, down 100.55% year-over-year from $183.0 million in Q2 2025, and up 99.12% quarter-over-quarter from -$114.0 million in Q1 2026.
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Analysis
Microsoft (MSFT) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Microsoft has disclosed Exchange Rate Effect across 18 years of filings, most recently posting -$1.0 million for Q2 2026.
- In Q2 2026, Exchange Rate Effect fell 100.55% year-over-year to -$1.0 million; the TTM figure through Jun 2026 stood at -$196.0 million (down 411.11% YoY), while the FY2026 annual figure was -$196.0 million, down 411.11% from the prior year.
- Exchange Rate Effect came in at -$1.0 million for Q2 2026 at Microsoft, up from -$114.0 million in the prior quarter.
- In the past five years, Exchange Rate Effect ranged from a high of $183.0 million in Q2 2025 to a low of -$294.0 million in Q4 2024.
- Average Exchange Rate Effect over 5 years is -$39.5 million, with a median of -$40.5 million recorded in 2024.
- Year-over-year, Exchange Rate Effect tumbled 650.0% in 2022 and soared 277.67% in 2025.
- Over 5 years, Exchange Rate Effect stood at $88.0 million in 2022, then decreased by 18.18% to $72.0 million in 2023, then sank by 508.33% to -$294.0 million in 2024, then jumped by 103.74% to $11.0 million in 2025, then slumped by 109.09% to -$1.0 million in 2026.
- Per Business Quant data, the three most recent Exchange Rate Effect figures were -$1.0 million in Q2 2026, -$114.0 million in Q1 2026, and $11.0 million in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,717.88 Bn | 3,585.13 Bn | 60.48 Bn | -1.00 Mn |
| 2 | International Business Machines | 219.37 Bn | 208.10 Bn | 9.91 Bn | -34.00 Mn |
| 3 | Cloudflare | 113.46 Bn | 109.29 Bn | 499.52 Mn | - |
| 4 | Equinix | 102.39 Bn | 100.19 Bn | 1.40 Bn | -5.00 Mn |
| 5 | Nebius | 57.34 Bn | 49.30 Bn | 448.70 Mn | 5.90 Mn |
| 6 | CoreWeave | 47.88 Bn | 42.34 Bn | 1.70 Bn | - |
| 7 | Verisign | 26.51 Bn | 25.48 Bn | 384.60 Mn | 300,000.00 |
| 8 | Nutanix | 18.85 Bn | 16.49 Bn | 651.35 Mn | - |
| 9 | Akamai Technologies | 17.01 Bn | 13.65 Bn | 613.75 Mn | 6.25 Mn |
| 10 | DigitalOcean Holdings | 14.83 Bn | 14.06 Bn | 154.66 Mn | 4,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.00 Mn |
| Mar 31, 2026 | -114.00 Mn |
| Dec 31, 2025 | 11.00 Mn |
| Sep 30, 2025 | -92.00 Mn |
| Jun 30, 2025 | 183.00 Mn |
| Mar 31, 2025 | 52.00 Mn |
| Dec 31, 2024 | -294.00 Mn |
| Sep 30, 2024 | 122.00 Mn |
| Jun 30, 2024 | -103.00 Mn |
| Mar 31, 2024 | -80.00 Mn |
| Dec 31, 2023 | 72.00 Mn |
| Sep 30, 2023 | -99.00 Mn |
| Jun 30, 2023 | -81.00 Mn |
| Mar 31, 2023 | 29.00 Mn |
| Dec 31, 2022 | 88.00 Mn |
| Sep 30, 2022 | -230.00 Mn |
| Jun 30, 2022 | -198.00 Mn |
| Mar 31, 2022 | 24.00 Mn |
| Dec 31, 2021 | 106.00 Mn |
| Sep 30, 2021 | -73.00 Mn |
API Access
Microsoft 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=MSFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "MSFT", "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=MSFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();