Microsoft (MSFT) Receivables (2009 - 2026)
Microsoft (MSFT) recorded Receivables of $62.08 billion in fiscal Q1 2027 (quarter ended Sep 30, 2026), up 17.4% from $52.89 billion a year earlier but down 23.2% from the prior quarter.
Microsoft (MSFT) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2026 (ended Jun 30, 2026), Microsoft reported Receivables of $80.88 billion, up 15.7% from FY2025.
- Annual Receivables has increased for 11 straight fiscal years, with a five-year compound annual growth rate of 16.3% (FY2021 to FY2026).
- Across earlier fiscal years, Receivables came in at $69.91 billion in FY2025 (+22.8%), $56.92 billion in FY2024 (+16.9%), $48.69 billion in FY2023 (+10.0%) and $44.26 billion in FY2022 (+16.3%).
- Quarterly Receivables has ranged from $31.28 billion in fiscal Q1 2023 to $80.88 billion in fiscal Q4 2026 over the past five years.
- On a year-over-year basis, Receivables has increased for 39 consecutive quarters, with growth averaging 17.4% over the last eight quarters.
- Across the past five years, year-over-year growth in Receivables ran from 6.9% in fiscal Q2 2023 to 23.9% in fiscal Q3 2022.
- Per Business Quant, the preceding three fiscal quarters came in at $80.88 billion (Q4 2026), $60.04 billion (Q3 2026) and $56.54 billion (Q2 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,978.22 Bn | 3,913.71 Bn | 62.56 Bn | 62.08 Bn |
| 2 | International Business Machines | 234.30 Bn | 188.91 Bn | 9.71 Bn | 7.47 Bn |
| 3 | Equinix | 98.75 Bn | 86.64 Bn | 1.31 Bn | 1.27 Bn |
| 4 | Cloudflare | 87.20 Bn | 70.73 Bn | 499.52 Mn | 450.13 Mn |
| 5 | Nebius | 29.33 Bn | 2.76 Bn | 448.70 Mn | 288.60 Mn |
| 6 | Verisign | 28.15 Bn | 25.50 Bn | 393.20 Mn | 9.60 Mn |
| 7 | CoreWeave | 24.27 Bn | 11.36 Bn | 1.70 Bn | 2.54 Bn |
| 8 | Nutanix | 15.78 Bn | 7.47 Bn | 651.35 Mn | 289.25 Mn |
| 9 | GoDaddy | 15.07 Bn | 10.45 Bn | 843.00 Mn | 92.90 Mn |
| 10 | Akamai Technologies | 11.38 Bn | 4.78 Bn | 613.75 Mn | 953.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 62.08 Bn |
| Jun 30, 2026 | 80.88 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 |
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();