Microsoft (MSFT) Receivables (2009 - 2026)
Microsoft's (MSFT) quarterly Receivables came in at $6.0 billion in Q2 2026, down 91.42% year-over-year from $69.9 billion in Q2 2025, and down 90.01% quarter-over-quarter from $60.0 billion in Q1 2026.
Microsoft (MSFT) Receivables (2009 - 2026) Analysis & Trends
Microsoft has disclosed Receivables across 18 years of filings, most recently posting $6.0 billion for Q2 2026.
- In Q2 2026, Receivables fell 91.42% year-over-year to $6.0 billion; the TTM figure through Jun 2026 stood at $6.0 billion (down 91.42% YoY), while the FY2026 annual figure was $80.9 billion, up 15.69% from the prior year.
- Receivables came in at $6.0 billion for Q2 2026 at Microsoft, down from $60.0 billion in the prior quarter.
- In the past five years, Receivables ranged from a high of $69.9 billion in Q2 2025 to a low of $6.0 billion in Q2 2026.
- Average Receivables over 5 years is $44.7 billion, with a median of $44.7 billion recorded in 2022.
- Year-over-year, Receivables climbed 23.9% in 2022 and slumped 91.42% in 2026.
- Over 5 years, Receivables stood at $36.4 billion in 2022, then rose by 17.74% to $42.8 billion in 2023, then increased by 12.51% to $48.2 billion in 2024, then grew by 17.32% to $56.5 billion in 2025, then sank by 89.39% to $6.0 billion in 2026.
- Per Business Quant data, the three most recent Receivables figures were $6.0 billion in Q2 2026, $60.0 billion in Q1 2026, and $56.5 billion in Q4 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,717.88 Bn | 3,585.13 Bn | 60.48 Bn | 6.00 Bn |
| 2 | International Business Machines | 219.37 Bn | 208.10 Bn | 9.91 Bn | 7.39 Bn |
| 3 | Cloudflare | 113.46 Bn | 109.29 Bn | 499.52 Mn | 450.13 Mn |
| 4 | Equinix | 102.39 Bn | 100.19 Bn | 1.40 Bn | 1.34 Bn |
| 5 | Nebius | 57.34 Bn | 49.30 Bn | 448.70 Mn | 288.60 Mn |
| 6 | CoreWeave | 47.88 Bn | 42.34 Bn | 1.70 Bn | 2.54 Bn |
| 7 | Verisign | 26.51 Bn | 25.48 Bn | 384.60 Mn | 9.50 Mn |
| 8 | Nutanix | 18.85 Bn | 16.49 Bn | 651.35 Mn | 289.25 Mn |
| 9 | Akamai Technologies | 17.01 Bn | 13.65 Bn | 613.75 Mn | 961.25 Mn |
| 10 | DigitalOcean Holdings | 14.83 Bn | 14.06 Bn | 154.66 Mn | 115.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.00 Bn |
| Mar 31, 2026 | 60.04 Bn |
| Dec 31, 2025 | 56.54 Bn |
| Sep 30, 2025 | 52.89 Bn |
| Jun 30, 2025 | 69.91 Bn |
| Mar 31, 2025 | 51.70 Bn |
| Dec 31, 2024 | 48.19 Bn |
| Sep 30, 2024 | 44.15 Bn |
| Jun 30, 2024 | 56.92 Bn |
| Mar 31, 2024 | 44.03 Bn |
| Dec 31, 2023 | 42.83 Bn |
| Sep 30, 2023 | 36.95 Bn |
| Jun 30, 2023 | 48.69 Bn |
| Mar 31, 2023 | 37.42 Bn |
| Dec 31, 2022 | 35.83 Bn |
| Sep 30, 2022 | 31.28 Bn |
| Jun 30, 2022 | 44.26 Bn |
| Mar 31, 2022 | 32.61 Bn |
| Dec 31, 2021 | 33.52 Bn |
| Sep 30, 2021 | 27.35 Bn |
Microsoft 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=MSFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "ticker": "MSFT", "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=MSFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();