Microsoft (MSFT) Finished Goods (2009 - 2025)
Microsoft's (MSFT) quarterly Finished Goods came in at $508.0 million in Q1 2025, down 46.58% year-over-year from $951.0 million in Q1 2024, and down 8.8% quarter-over-quarter from $557.0 million in Q4 2024.
Microsoft (MSFT) Finished Goods (2009 - 2025) Analysis & Trends
Microsoft has disclosed Finished Goods across 17 years of filings, most recently posting $508.0 million for Q1 2025.
- In Q1 2025, Finished Goods fell 46.58% year-over-year to $508.0 million; the TTM figure through Mar 2025 stood at $508.0 million (down 46.58% YoY), while the FY2024 annual figure was $845.0 million, down 52.21% from the prior year.
- Finished Goods came in at $508.0 million for Q1 2025 at Microsoft, down from $557.0 million in the prior quarter.
- In the past five years, Finished Goods ranged from a high of $3.1 billion in Q3 2022 to a low of $508.0 million in Q1 2025.
- Average Finished Goods over 5 years is $1.6 billion, with a median of $1.8 billion recorded in 2023.
- Year-over-year, Finished Goods jumped 84.05% in 2022 and slumped 54.38% in 2024.
- Over 5 years, Finished Goods stood at $2.0 billion in 2021, then retreated by 5.99% to $1.9 billion in 2022, then plunged by 35.12% to $1.2 billion in 2023, then tumbled by 54.38% to $557.0 million in 2024, then declined by 8.8% to $508.0 million in 2025.
- Per Business Quant data, the three most recent Finished Goods figures were $508.0 million in Q1 2025, $557.0 million in Q4 2024, and $1.1 billion in Q3 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Microsoft | 3,717.88 Bn | 3,585.13 Bn | 60.48 Bn |
| 2 | International Business Machines | 219.37 Bn | 208.10 Bn | 9.91 Bn |
| 3 | Cloudflare | 113.46 Bn | 109.29 Bn | 499.52 Mn |
| 4 | Equinix | 102.39 Bn | 100.19 Bn | 1.40 Bn |
| 5 | Nebius | 57.34 Bn | 49.30 Bn | 448.70 Mn |
| 6 | CoreWeave | 47.88 Bn | 42.34 Bn | 1.70 Bn |
| 7 | Verisign | 26.51 Bn | 25.48 Bn | 384.60 Mn |
| 8 | Nutanix | 18.85 Bn | 16.49 Bn | 651.35 Mn |
| 9 | Akamai Technologies | 17.01 Bn | 13.65 Bn | 613.75 Mn |
| 10 | DigitalOcean Holdings | 14.83 Bn | 14.06 Bn | 154.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 508.00 Mn |
| Dec 31, 2024 | 557.00 Mn |
| Sep 30, 2024 | 1.13 Bn |
| Jun 30, 2024 | 845.00 Mn |
| Mar 31, 2024 | 951.00 Mn |
| Dec 31, 2023 | 1.22 Bn |
| Sep 30, 2023 | 2.47 Bn |
| Jun 30, 2023 | 1.77 Bn |
| Mar 31, 2023 | 1.79 Bn |
| Dec 31, 2022 | 1.88 Bn |
| Sep 30, 2022 | 3.07 Bn |
| Jun 30, 2022 | 2.52 Bn |
| Mar 31, 2022 | 1.84 Bn |
| Dec 31, 2021 | 2.00 Bn |
| Sep 30, 2021 | 2.16 Bn |
| Jun 30, 2021 | 1.37 Bn |
| Mar 31, 2021 | 1.40 Bn |
| Dec 31, 2020 | 1.28 Bn |
| Sep 30, 2020 | 1.83 Bn |
| Jun 30, 2020 | 1.11 Bn |
Microsoft Finished Goods 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=finished-goods&ticker=MSFT&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "finished-goods", "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=finished-goods&ticker=MSFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();