Skip to content

Mitsubishi UFJ Financial Group, Inc.: net property, plant and equipment

Net property, plant and equipment for Mitsubishi UFJ Financial Group, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Mitsubishi UFJ Financial Group, Inc. financial histories

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 2009-03-31 to 2026-03-31. The SEC response was captured on 2026-09-19.

Selected filing history

Net property, plant and equipment in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2026-03-311,084,857,000,000JPY2026-07-0620-F · 0001628280-26-047095
At date2025-03-31919,854,000,000JPY2026-07-0620-F · 0001628280-26-047095
At date2024-03-31872,641,000,000JPY2025-07-0720-F · 0000067088-25-000011
At date2023-03-31860,578,000,000JPY2024-07-3020-F · 0000067088-24-000021
At date2022-03-31815,829,000,000JPY2023-07-2420-F · 0000067088-23-000008
At date2021-03-31874,992,000,000JPY2022-07-0820-F · 0000067088-22-000005
At date2020-03-31929,529,000,000JPY2021-07-0920-F · 0001193125-21-211223
At date2019-03-31973,600,000,000JPY2020-07-1020-F · 0001193125-20-190825
At date2018-03-311,013,588,000,000JPY2019-07-1020-F · 0001193125-19-191525
At date2017-03-31994,271,000,000JPY2018-07-1220-F · 0001193125-18-216433
At date2016-03-311,005,905,000,000JPY2017-07-1420-F · 0001193125-17-227940
At date2015-03-31982,205,000,000JPY2016-07-1520-F · 0001193125-16-648782
At date2014-03-311,236,648,000,000JPY2015-07-2720-F · 0000950123-15-007710
At date2013-03-311,059,054,000,000JPY2014-07-1820-F · 0001193125-14-272193
At date2012-03-31987,474,000,000JPY2013-07-2220-F · 0001193125-13-297023
At date2011-03-31962,548,000,000JPY2012-07-2320-F · 0001193125-12-309692
At date2010-03-31995,167,000,000JPY2011-07-2820-F · 0001193125-11-199847
At date2009-03-311,043,416,000,000JPY2010-08-1620-F · 0001193125-10-189374

Related financial histories

Inspect the source

Entity
Mitsubishi UFJ Financial Group, Inc. / CIK 0000067088
Captured
2026-09-19T11:13:38.731Z
SEC response SHA-256
e88a7db2dfb93bf6f94e6cbdb8e4a5d8a1cef2245c9cf96f00db016c0cbd46d0

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.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000067088.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"])))