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PORTSMOUTH SQUARE, INC.: capital expenditure payments

Capital expenditure payments for PORTSMOUTH SQUARE, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All PORTSMOUTH SQUARE, INC. financial histories

What this measure means

Cash payments to acquire property, plant and equipment. This taxonomy concept does not capture every form of investment or acquisition.

Exact concept: us-gaap:PaymentsToAcquirePropertyPlantAndEquipment. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2010-07-01 to 2025-06-30. The SEC response was captured on 2026-09-19.

Selected filing history

Capital expenditure payments in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-07-012025-06-302,252,000USD2025-09-3010-K · 0001493152-25-016135
2023-07-012024-06-304,078,000USD2025-09-3010-K · 0001493152-25-016135
2022-07-012023-06-305,866,000USD2024-09-3010-K · 0001493152-24-038779
2021-07-012022-06-301,926,000USD2023-10-1610-K/A · 0001493152-23-037386
2020-07-012021-06-301,068,000USD2022-09-2810-K · 0001493152-22-027008
2019-07-012020-06-301,291,000USD2021-09-1710-K · 0001493152-21-022980
2018-07-012019-06-301,399,000USD2020-09-0910-K · 0001493152-20-017492
2017-07-012018-06-30210,000USD2018-08-3110-K · 0001144204-18-047600
2016-07-012017-06-30329,000USD2018-08-3110-K · 0001144204-18-047600
2015-07-012016-06-304,231,000USD2017-10-1310-K · 0001144204-17-052401
2014-07-012015-06-305,094,000USD2016-09-2810-K · 0001144204-16-125803
2013-07-012014-06-303,701,000USD2015-09-0410-K · 0001144204-15-053834
2012-07-012013-06-303,359,000USD2014-09-2910-K · 0001144204-14-058308
2011-07-012012-06-302,819,000USD2013-09-1810-K · 0001144204-13-051349
2010-07-012011-06-301,773,000USD2012-09-2010-K · 0001144204-12-052253

Related financial histories

Inspect the source

Entity
PORTSMOUTH SQUARE, INC. / CIK 0000079661
Captured
2026-09-19T14:51:19.716Z
SEC response SHA-256
a5919cdc826b0a6764e7dad0d096df0379580376d60f7e9b22b09f5fd53a8b2d

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/0000079661.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"])))