Strategy (MSTR) Exchange Rate Effect (2010 - 2026)
Strategy's (MSTR) quarterly Exchange Rate Effect came in at -$518000.0 in Q2 2026, down 126.83% year-over-year from $1.9 million in Q2 2025, and up 78.8% quarter-over-quarter from -$2.4 million in Q1 2026.
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Analysis
Strategy (MSTR) Exchange Rate Effect (2010 - 2026) Analysis & Trends
Strategy has disclosed Exchange Rate Effect across 17 years of filings, most recently posting -$518000.0 for Q2 2026.
- In Q2 2026, Exchange Rate Effect fell 126.83% year-over-year to -$518000.0; the TTM figure through Jun 2026 stood at -$6.3 million (down 387.59% YoY), while the FY2025 annual figure was -$544000.0, up 74.67% from the prior year.
- Exchange Rate Effect came in at -$518000.0 for Q2 2026 at Strategy, up from -$2.4 million in the prior quarter.
- In the past five years, Exchange Rate Effect ranged from a high of $2.2 million in Q4 2022 to a low of -$3.2 million in Q4 2025.
- Average Exchange Rate Effect over 5 years is -$476888.9, with a median of -$498000.0 recorded in 2024.
- Year-over-year, Exchange Rate Effect plunged 407.12% in 2024 and soared 503.97% in 2025.
- Over 5 years, Exchange Rate Effect stood at $2.2 million in 2022, then plunged by 35.15% to $1.4 million in 2023, then tumbled by 254.41% to -$2.2 million in 2024, then slumped by 43.51% to -$3.2 million in 2025, then jumped by 83.78% to -$518000.0 in 2026.
- Per Business Quant data, the three most recent Exchange Rate Effect figures were -$518000.0 in Q2 2026, -$2.4 million in Q1 2026, and -$3.2 million in Q4 2025.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | 292,000.00 |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | 11.00 Mn |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | -43.01 Mn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | -75.00 Mn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | - |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | -24.10 Mn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | -11.00 Mn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | -518,000.00 |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -518,000.00 |
| Mar 31, 2026 | -2.44 Mn |
| Dec 31, 2025 | -3.19 Mn |
| Sep 30, 2025 | -127,000.00 |
| Jun 30, 2025 | 1.93 Mn |
| Mar 31, 2025 | 845,000.00 |
| Dec 31, 2024 | -2.23 Mn |
| Sep 30, 2024 | 1.63 Mn |
| Jun 30, 2024 | -478,000.00 |
| Mar 31, 2024 | -1.08 Mn |
| Dec 31, 2023 | 1.44 Mn |
| Sep 30, 2023 | -762,000.00 |
| Jun 30, 2023 | -586,000.00 |
| Mar 31, 2023 | 351,000.00 |
| Dec 31, 2022 | 2.22 Mn |
| Sep 30, 2022 | -2.37 Mn |
| Jun 30, 2022 | -2.90 Mn |
| Mar 31, 2022 | -324,000.00 |
| Dec 31, 2021 | -571,000.00 |
| Sep 30, 2021 | -1.07 Mn |
API Access
Strategy 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=MSTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "MSTR", "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=MSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();