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Federal Home Loan Mortgage Corporation: net property, plant and equipment

Federal Home Loan Mortgage net property, plant and equipment: $959.0 million at 2018-12-31, up 20.2% on the year. 3 values since 2016 from SEC filings.

All Federal Home Loan Mortgage Corporation financial histories

At a glance

Federal Home Loan Mortgage reported net property, plant and equipment of $959.0 million at 2018-12-31, up 20.2% from $798.0 million a year earlier. Across the last three reported years it ranged from $630.0 million (2016-12-31) to $959.0 million (2018-12-31). That was 0.0% of total assets ($2.06 trillion) 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 2016-12-31 to 2018-12-31. The SEC response was captured on 2026-09-20.

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

Net property, plant and equipment in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
-2018-12-31959,000,000USD2019-02-1410-K · 0001026214-19-000020 SEC
-2017-12-31798,000,000USD2019-02-1410-K · 0001026214-19-000020 SEC
-2016-12-31630,000,000USD2018-02-1510-K · 0001026214-18-000020 SEC

Related Federal Home Loan Mortgage Corporation histories

All 30 Federal Home Loan Mortgage histories

Inspect the source

Entity
Federal Home Loan Mortgage Corporation / CIK 0001026214
Captured
SEC response SHA-256
67fd5b3cf55c379343fd9ffb7271dc8d90538e78bcc7f7e0d592939e3a19939b

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.

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/0001026214.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"])))