Strategy (MSTR) Selling, General & Administrative (2010 - 2026)
Strategy (MSTR) reported Selling, General & Administrative of $39.92 million for Q2 2026, up 9.4% from $36.5 million a year earlier and up 6.9% from the prior quarter.
Strategy (MSTR) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Strategy's Selling, General & Administrative came in at $152.14 million, up 3.6% year-over-year; for FY2025, it came in at $151.91 million, up 8.1% from FY2024.
- Selling, General & Administrative has increased for five consecutive years, with a five-year compound annual growth rate of 13.6% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $140.54 million in FY2024 (+21.9%), $115.31 million in FY2023 (+3.5%), $111.42 million in FY2022 (+16.7%) and $95.5 million in FY2021 (+19.2%).
- The Q2 2026 figure ranks as the highest quarterly Selling, General & Administrative since Q1 2025.
- Year over year, Selling, General & Administrative gained in seven of the last eight quarters, with growth averaging 9.1%.
- The high point for year-over-year Selling, General & Administrative in five years was Q4 2021 (growth of 38.1%); the low point was Q1 2026 (a decline of 7.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $37.36 million (Q1 2026), $36.69 million (Q4 2025) and $38.17 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 194.58 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 376.00 Mn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -469.59 Mn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 725.00 Mn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 369.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 1.25 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 391.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 39.92 Mn |
| 10 | Workday | 45.49 Bn | 21.61 Bn | 2.00 Bn | 231.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 39.92 Mn |
| Mar 31, 2026 | 37.36 Mn |
| Dec 31, 2025 | 36.69 Mn |
| Sep 30, 2025 | 38.17 Mn |
| Jun 30, 2025 | 36.50 Mn |
| Mar 31, 2025 | 40.55 Mn |
| Dec 31, 2024 | 36.24 Mn |
| Sep 30, 2024 | 33.51 Mn |
| Jun 30, 2024 | 36.13 Mn |
| Mar 31, 2024 | 34.67 Mn |
| Dec 31, 2023 | 29.35 Mn |
| Sep 30, 2023 | 29.22 Mn |
| Jun 30, 2023 | 28.83 Mn |
| Mar 31, 2023 | 27.91 Mn |
| Dec 31, 2022 | 28.93 Mn |
| Sep 30, 2022 | 27.28 Mn |
| Jun 30, 2022 | 28.50 Mn |
| Mar 31, 2022 | 26.71 Mn |
| Dec 31, 2021 | 27.10 Mn |
| Sep 30, 2021 | 23.75 Mn |
Strategy Selling, General & Administrative 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=selling-general-and-administrative&ticker=MSTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=MSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();