International Business Machines (IBM) Depreciation and Depletion (2009 - 2026)
International Business Machines' Depreciation and Depletion came in at $550 million for Q3 2026, down 5.8% from $584 million a year earlier but up 3.2% from the prior quarter.
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Analysis
International Business Machines (IBM) Depreciation and Depletion (2009 - 2026) Analysis & Trends
Over the trailing twelve months to Sep 30, 2026, International Business Machines reported Depreciation and Depletion of $2.22 billion, up 0.1% year-over-year; for FY2025, it was $2.28 billion, up 5.4% from FY2024.
- Depreciation and Depletion carries a five-year compound annual growth rate of -11.6% (FY2020 to FY2025).
- Going back by year, Depreciation and Depletion was $2.17 billion in FY2024 (+2.8%), $2.11 billion in FY2023 (-12.4%), $2.41 billion in FY2022 (-38.1%) and $3.89 billion in FY2021 (-8.0%).
- The five-year range for quarterly Depreciation and Depletion is $520 million (Q2 2023) to $749 million (Q4 2021).
- Year-over-year, Depreciation and Depletion increased in five of the last eight quarters, with growth averaging 1.0%.
- The fastest year-over-year change in Depreciation and Depletion over five years came in Q4 2025 (growth of 11.8%), and the weakest in Q3 2022 (a decline of 43.5%).
- Business Quant data shows IBM's Depreciation and Depletion at $533 million (Q2 2026), $555 million (Q1 2026) and $586 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,944.62 Bn | 3,880.11 Bn | 62.56 Bn | 11.10 Bn |
| 2 | International Business Machines | 231.10 Bn | 185.71 Bn | 9.71 Bn | 550.00 Mn |
| 3 | Equinix | 100.11 Bn | 88.01 Bn | 1.31 Bn | - |
| 4 | Cloudflare | 96.02 Bn | 78.46 Bn | 557.23 Mn | 55.70 Mn |
| 5 | Nebius | 31.44 Bn | 4.87 Bn | 448.70 Mn | 253.80 Mn |
| 6 | Verisign | 27.82 Bn | 25.17 Bn | 393.20 Mn | - |
| 7 | CoreWeave | 25.57 Bn | 12.66 Bn | 1.70 Bn | 1.40 Bn |
| 8 | Nutanix | 15.68 Bn | 7.37 Bn | 651.35 Mn | 16.30 Mn |
| 9 | GoDaddy | 14.30 Bn | 9.69 Bn | 843.00 Mn | - |
| 10 | Akamai Technologies | 12.01 Bn | 5.41 Bn | 613.75 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 550.00 Mn |
| Jun 30, 2026 | 533.00 Mn |
| Mar 31, 2026 | 555.00 Mn |
| Dec 31, 2025 | 586.00 Mn |
| Sep 30, 2025 | 584.00 Mn |
| Jun 30, 2025 | 578.00 Mn |
| Mar 31, 2025 | 536.00 Mn |
| Dec 31, 2024 | 524.00 Mn |
| Sep 30, 2024 | 563.00 Mn |
| Jun 30, 2024 | 548.00 Mn |
| Mar 31, 2024 | 533.00 Mn |
| Dec 31, 2023 | 541.00 Mn |
| Sep 30, 2023 | 521.00 Mn |
| Jun 30, 2023 | 520.00 Mn |
| Mar 31, 2023 | 527.00 Mn |
| Dec 31, 2022 | 570.00 Mn |
| Sep 30, 2022 | 586.00 Mn |
| Jun 30, 2022 | 620.00 Mn |
| Mar 31, 2022 | 631.00 Mn |
| Dec 31, 2021 | 749.00 Mn |
API Access
International Business Machines Depreciation and Depletion 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=depreciation-and-depletion&ticker=IBM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=IBM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();