International Business Machines (IBM) Selling, General & Administrative (2009 - 2026)
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Analysis
International Business Machines (IBM) Selling, General & Administrative (2009 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,890.86 Bn | 3,826.35 Bn | 62.56 Bn | 1.88 Bn |
| 2 | International Business Machines | 233.55 Bn | 188.83 Bn | 9.71 Bn | 4.62 Bn |
| 3 | Cloudflare | 109.18 Bn | 91.62 Bn | 557.23 Mn | 107.95 Mn |
| 4 | Equinix | 104.31 Bn | 92.20 Bn | 1.31 Bn | 449.00 Mn |
| 5 | CoreWeave | 29.43 Bn | 14.28 Bn | 2.48 Bn | 188.00 Mn |
| 6 | Nebius | 29.32 Bn | 122.11 Mn | 761.10 Mn | 237.40 Mn |
| 7 | Verisign | 28.11 Bn | 25.46 Bn | 393.20 Mn | 70.20 Mn |
| 8 | Nutanix | 16.34 Bn | 8.02 Bn | 651.35 Mn | 72.41 Mn |
| 9 | GoDaddy | 13.97 Bn | 9.35 Bn | 843.00 Mn | 91.70 Mn |
| 10 | Akamai Technologies | 12.30 Bn | 3.31 Bn | 617.27 Mn | 174.24 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.62 Bn |
| Jun 30, 2026 | 4.98 Bn |
| Mar 31, 2026 | 5.09 Bn |
| Dec 31, 2025 | 5.46 Bn |
| Sep 30, 2025 | 4.75 Bn |
| Jun 30, 2025 | 5.03 Bn |
| Mar 31, 2025 | 4.89 Bn |
| Dec 31, 2024 | 4.87 Bn |
| Sep 30, 2024 | 4.91 Bn |
| Jun 30, 2024 | 4.94 Bn |
| Mar 31, 2024 | 4.97 Bn |
| Dec 31, 2023 | 4.79 Bn |
| Sep 30, 2023 | 4.46 Bn |
| Jun 30, 2023 | 4.90 Bn |
| Mar 31, 2023 | 4.85 Bn |
| Dec 31, 2022 | 4.77 Bn |
| Sep 30, 2022 | 4.39 Bn |
| Jun 30, 2022 | 4.86 Bn |
| Mar 31, 2022 | 4.60 Bn |
| Dec 31, 2021 | 4.90 Bn |
API Access
International Business Machines Selling, General & Administrative 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=selling-general-and-administrative&ticker=IBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "IBM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();