Strategy (MSTR) Receivables (2010 - 2026)
Strategy (MSTR) recorded Receivables of $137.09 million in Q2 2026, up 13.7% from $120.57 million a year earlier and up 2.3% from the prior quarter.
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Analysis
Strategy (MSTR) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025, Strategy reported Receivables of $215.45 million, up 17.2% from FY2024.
- Annual Receivables has a five-year compound annual growth rate of 1.8% (FY2020 to FY2025).
- Across earlier years, Receivables came in at $183.8 million in FY2024 (-0.7%), $185.02 million in FY2023 (-2.6%), $189.88 million in FY2022 (-0.3%) and $190.38 million in FY2021 (-3.6%).
- Quarterly Receivables has ranged from $107.29 million in Q1 2025 to $215.45 million in Q4 2025 over the past five years.
- On a year-over-year basis, Receivables has increased for five consecutive quarters, with growth averaging 5.6% over the last eight quarters.
- Peak year-over-year performance for Receivables in the last five years was growth of 25.0% in Q1 2026, against a decline of 16.8% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $134.06 million (Q1 2026), $215.45 million (Q4 2025) and $118.11 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 1.50 Bn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 11.39 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | 8.22 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.32 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.80 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 3.52 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 625.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | 3.14 Bn |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 137.09 Mn |
| 10 | Workday | 45.49 Bn | 21.61 Bn | 2.00 Bn | 2.42 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 137.09 Mn |
| Mar 31, 2026 | 134.06 Mn |
| Dec 31, 2025 | 215.45 Mn |
| Sep 30, 2025 | 118.11 Mn |
| Jun 30, 2025 | 120.57 Mn |
| Mar 31, 2025 | 107.29 Mn |
| Dec 31, 2024 | 183.80 Mn |
| Sep 30, 2024 | 109.17 Mn |
| Jun 30, 2024 | 114.03 Mn |
| Mar 31, 2024 | 116.65 Mn |
| Dec 31, 2023 | 185.02 Mn |
| Sep 30, 2023 | 129.95 Mn |
| Jun 30, 2023 | 122.80 Mn |
| Mar 31, 2023 | 140.18 Mn |
| Dec 31, 2022 | 189.88 Mn |
| Sep 30, 2022 | 109.93 Mn |
| Jun 30, 2022 | 118.65 Mn |
| Mar 31, 2022 | 126.93 Mn |
| Dec 31, 2021 | 190.38 Mn |
| Sep 30, 2021 | 123.75 Mn |
API Access
Strategy Receivables 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=receivables&ticker=MSTR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=MSTR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();