Strategy (MSTR) Goodwill & Intangibles (2010 - 2026)
Strategy's (MSTR) quarterly Goodwill & Intangibles came in at $49.7 billion in Q2 2026, down 22.82% year-over-year from $64.4 billion in Q2 2025, and down 3.83% quarter-over-quarter from $51.6 billion in Q1 2026.
Strategy (MSTR) Goodwill & Intangibles (2010 - 2026) Analysis & Trends
Strategy has disclosed Goodwill & Intangibles across 16 years of filings, most recently posting $49.7 billion for Q2 2026.
- In Q2 2026, Goodwill & Intangibles fell 22.82% year-over-year to $49.7 billion; the TTM figure through Jun 2026 stood at $49.7 billion (down 22.82% YoY), while the FY2025 annual figure was $58.9 billion, up 146.15% from the prior year.
- Goodwill & Intangibles came in at $49.7 billion for Q2 2026 at Strategy, down from $51.6 billion in the prior quarter.
- In the past five years, Goodwill & Intangibles ranged from a high of $73.2 billion in Q3 2025 to a low of $1.8 billion in Q4 2022.
- Average Goodwill & Intangibles over 5 years is $22.3 billion, with a median of $5.4 billion recorded in 2024.
- Year-over-year, Goodwill & Intangibles plunged 35.44% in 2022 and surged 1031.58% in 2025.
- Over 5 years, Goodwill & Intangibles stood at $1.8 billion in 2022, then soared by 97.09% to $3.6 billion in 2023, then jumped by 559.3% to $23.9 billion in 2024, then soared by 146.15% to $58.9 billion in 2025, then dropped by 15.6% to $49.7 billion in 2026.
- Per Business Quant data, the three most recent Goodwill & Intangibles figures were $49.7 billion in Q2 2026, $51.6 billion in Q1 2026, and $58.9 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 49.67 Bn |
| Mar 31, 2026 | 51.65 Bn |
| Dec 31, 2025 | 58.85 Bn |
| Sep 30, 2025 | 73.21 Bn |
| Jun 30, 2025 | 64.36 Bn |
| Mar 31, 2025 | 43.55 Bn |
| Dec 31, 2024 | 23.91 Bn |
| Sep 30, 2024 | 6.85 Bn |
| Jun 30, 2024 | 5.69 Bn |
| Mar 31, 2024 | 5.07 Bn |
| Dec 31, 2023 | 3.63 Bn |
| Sep 30, 2023 | 2.45 Bn |
| Jun 30, 2023 | 2.32 Bn |
| Mar 31, 2023 | 2.00 Bn |
| Dec 31, 2022 | 1.84 Bn |
| Sep 30, 2022 | 1.99 Bn |
| Jun 30, 2022 | 1.99 Bn |
| Mar 31, 2022 | 2.90 Bn |
| Dec 31, 2021 | 2.85 Bn |
| Sep 30, 2021 | 2.41 Bn |
Strategy Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=MSTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=MSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();