International Business Machines Corp: net property, plant and equipment
International Business Machines net property, plant and equipment: $5.33 billion at 2022-12-31, down 6.3% on the year. 15 values since 2008 from SEC filings.
All International Business Machines Corp financial histories
At a glance
International Business Machines reported net property, plant and equipment of $5.33 billion at 2022-12-31, down 6.3% from $5.69 billion a year earlier. From 2008 to 2022 it fell at a compound 6.8% a year, from $14.3 billion to $5.33 billion. Across the last five reported years it ranged from $5.33 billion (2022-12-31) to $10.8 billion (2018-12-31). That was 4.2% of total assets ($127.2 billion) at the same date.
Computed from the values in the table below, in USD; each links to the filing it came from.
What this measure means
Carrying amount of property, plant and equipment after accumulated depreciation, depletion and amortization. It is not replacement cost or market value.
Exact concept: us-gaap:PropertyPlantAndEquipmentNet. Each value is a balance at the reporting date, not a flow earned over a year. Different units remain separate; no currency conversion or interpolation is applied.
Coverage of this history
Selected reporting periods run from 2008-12-31 to 2022-12-31. The SEC response was captured on 2026-09-19.
This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| - | 2022-12-31 | 5,334,000,000 | USD | 2023-02-28 | 10-K · 0001558370-23-002376 SEC |
| - | 2021-12-31 | 5,694,000,000 | USD | 2023-02-28 | 10-K · 0001558370-23-002376 SEC |
| - | 2020-12-31 | 6,205,000,000 | USD | 2022-02-22 | 10-K · 0001558370-22-001584 SEC |
| - | 2019-12-31 | 10,010,000,000 | USD | 2021-02-23 | 10-K · 0001558370-21-001489 SEC |
| - | 2018-12-31 | 10,792,000,000 | USD | 2020-02-25 | 10-K · 0001558370-20-001334 SEC |
| - | 2017-12-31 | 11,116,000,000 | USD | 2019-02-26 | 10-K · 0001047469-19-000712 SEC |
| - | 2016-12-31 | 10,830,000,000 | USD | 2018-02-27 | 10-K · 0001047469-18-001117 SEC |
| - | 2015-12-31 | 10,727,000,000 | USD | 2017-02-28 | 10-K · 0001047469-17-001061 SEC |
| - | 2014-12-31 | 10,771,000,000 | USD | 2016-02-23 | 10-K · 0001047469-16-010329 SEC |
| - | 2013-12-31 | 13,821,000,000 | USD | 2015-02-24 | 10-K · 0001047469-15-001106 SEC |
| - | 2012-12-31 | 13,996,000,000 | USD | 2014-02-25 | 10-K · 0001047469-14-001302 SEC |
| - | 2011-12-31 | 13,883,000,000 | USD | 2013-02-26 | 10-K · 0001047469-13-001698 SEC |
| - | 2010-12-31 | 14,096,000,000 | USD | 2012-02-28 | 10-K · 0001047469-12-001742 SEC |
| - | 2009-12-31 | 14,165,000,000 | USD | 2011-02-22 | 10-K · 0001047469-11-001117 SEC |
| - | 2008-12-31 | 14,305,000,000 | USD | 2010-02-23 | 10-K · 0001047469-10-001151 SEC |
Related INTERNATIONAL BUSINESS MACHINES CORP histories
Inspect the source
- Entity
- INTERNATIONAL BUSINESS MACHINES CORP / CIK 0000051143
- Captured
- SEC response SHA-256
1660477fa5713e5749c3038cf22b3c776414acfc6e1e721d1772c91101dc5e5c
Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON
Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.
Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.
Use this in research
A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.
These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.
Research methodology · Execution and cost assumptions · Check backtest overfitting
Build with the open-source tools
Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.
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The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000051143.json") as response:
record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
print(concept["tag"], next(iter(concept["observations"])))