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NIPPON TELEGRAPH & TELEPHONE CORP: financial reference

Explore NIPPON TELEGRAPH & TELEPHONE CORP financial histories from SEC filings, with original units, reporting periods, filing dates and downloadable source data.

Reported financial histories

Choose a measure to inspect its definition, complete selected history and filing provenance. Each row shows the latest period available for that selected concept and original unit. Separate currencies and reporting intervals remain separate rows. Coverage dates can differ between concepts. A recent capture does not imply recent accounting coverage; these amounts are not prices.

Latest periods by selected concept and original unit
MeasurePeriod startPeriod endValueUnitFiled
Total assetsAt date2017-03-3121,250,325,000,000JPY2017-06-28
Stockholders equityAt date2017-03-319,052,479,000,000JPY2017-06-28
Cash and cash equivalentsAt date2017-03-31925,213,000,000JPY2017-06-28
Net income or loss2016-04-012017-03-31800,129,000,000JPY2017-06-28
Operating cash flow2012-04-012013-03-312,453,682,000,000JPY2013-06-28
Capital expenditure payments2016-04-012017-03-311,301,697,000,000JPY2017-06-28
Revenue2016-04-012017-03-3111,391,016,000,000JPY2017-06-28
Financing cash flow2012-04-012013-03-31-745,181,000,000JPY2013-06-28
Investing cash flow2012-04-012013-03-31-1,776,253,000,000JPY2013-06-28
Retained earnings or deficitAt date2017-03-315,626,155,000,000JPY2017-06-28
Income tax expense or benefit2016-04-012017-03-31468,370,000,000JPY2017-06-28
Net property, plant and equipmentAt date2017-03-319,719,021,000,000JPY2017-06-28
Operating income or loss2016-04-012017-03-311,539,789,000,000JPY2017-06-28
Current assetsAt date2017-03-315,312,423,000,000JPY2017-06-28
Current liabilitiesAt date2017-03-314,131,393,000,000JPY2017-06-28
Current accounts payableAt date2017-03-311,612,996,000,000JPY2017-06-28
Goodwill carrying amountAt date2017-03-311,314,645,000,000JPY2017-06-28
Net finite-lived intangible assetsAt date2017-03-311,559,835,000,000JPY2017-06-28
Common-stock repurchase payments2013-04-012014-03-315,834,000,000JPY2014-06-30
Net inventoryAt date2017-03-31365,379,000,000JPY2017-06-28
Selling, general and administrative expense2016-04-012017-03-312,786,820,000,000JPY2017-06-28
Research and development expense2016-04-012017-03-31211,616,000,000JPY2017-06-28

Inspect the source

Entity
NIPPON TELEGRAPH & TELEPHONE CORP / CIK 0000769594
Captured
2026-09-19T15:03:04.056Z
SEC response SHA-256
188ea57ae66f214794312487af3d77afa92bce90684490b5540f88e19d6a7954

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/0000769594.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"])))