Strategy (MSTR) Payables (2010 - 2026)
Strategy's (MSTR) quarterly Payables came in at $190.5 million in Q2 2026, up 330.8% year-over-year from $44.2 million in Q2 2025, and up 105.25% quarter-over-quarter from $92.8 million in Q1 2026.
Strategy (MSTR) Payables (2010 - 2026) Analysis & Trends
Strategy has disclosed Payables across 17 years of filings, most recently posting $190.5 million for Q2 2026.
- In Q2 2026, Payables rose 330.8% year-over-year to $190.5 million; the TTM figure through Jun 2026 stood at $190.5 million (up 330.8% YoY), while the FY2025 annual figure was $77.5 million, up 46.19% from the prior year.
- Payables came in at $190.5 million for Q2 2026 at Strategy, up from $92.8 million in the prior quarter.
- In the past five years, Payables ranged from a high of $190.5 million in Q2 2026 to a low of $33.7 million in Q2 2023.
- Average Payables over 5 years is $56.3 million, with a median of $44.3 million recorded in 2022.
- Year-over-year, Payables fell 18.94% in 2022 and surged 330.8% in 2026.
- Over 5 years, Payables stood at $43.0 million in 2022, then rose by 0.27% to $43.1 million in 2023, then increased by 22.96% to $53.0 million in 2024, then soared by 46.19% to $77.5 million in 2025, then soared by 145.94% to $190.5 million in 2026.
- Per Business Quant data, the three most recent Payables figures were $190.5 million in Q2 2026, $92.8 million in Q1 2026, and $77.5 million in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 460.85 Bn | 451.55 Bn | 1.64 Bn | 504.07 Mn |
| 2 | Oracle | 437.09 Bn | 400.44 Bn | - | 18.69 Bn |
| 3 | Sap Se | 258.74 Bn | 237.66 Bn | 8.40 Bn | 3.19 Bn |
| 4 | Salesforce | 195.52 Bn | 184.12 Bn | 8.70 Bn | - |
| 5 | ServiceNow | 145.61 Bn | 140.94 Bn | 2.82 Bn | 2.24 Bn |
| 6 | Automatic Data Processing | 104.89 Bn | 100.66 Bn | 2.51 Bn | 834.40 Mn |
| 7 | Intuit | 76.97 Bn | 69.77 Bn | 3.46 Bn | 873.00 Mn |
| 8 | Relx | 60.41 Bn | 60.04 Bn | - | 5.37 Bn |
| 9 | Strategy | 57.09 Bn | 54.64 Bn | 81.55 Mn | 190.50 Mn |
| 10 | Workday | 46.40 Bn | 42.99 Bn | 2.21 Bn | 102.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 190.50 Mn |
| Mar 31, 2026 | 92.81 Mn |
| Dec 31, 2025 | 77.46 Mn |
| Sep 30, 2025 | 48.72 Mn |
| Jun 30, 2025 | 44.22 Mn |
| Mar 31, 2025 | 53.72 Mn |
| Dec 31, 2024 | 52.98 Mn |
| Sep 30, 2024 | 45.71 Mn |
| Jun 30, 2024 | 44.19 Mn |
| Mar 31, 2024 | 41.87 Mn |
| Dec 31, 2023 | 43.09 Mn |
| Sep 30, 2023 | 34.31 Mn |
| Jun 30, 2023 | 33.66 Mn |
| Mar 31, 2023 | 50.60 Mn |
| Dec 31, 2022 | 42.98 Mn |
| Sep 30, 2022 | 36.85 Mn |
| Jun 30, 2022 | 35.96 Mn |
| Mar 31, 2022 | 44.39 Mn |
| Dec 31, 2021 | 46.08 Mn |
| Sep 30, 2021 | 45.45 Mn |
Strategy Payables 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=payables&ticker=MSTR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "payables", "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=payables&ticker=MSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();