Skip to content

Portsmouth Square, Inc.: total liabilities

Portsmouth Square total liabilities: $171.0 million at 2025-06-30, up 9.4% on the year. 15 values since 2011 from SEC filings, each linked to its filing.

All Portsmouth Square, Inc. financial histories

At a glance

Portsmouth Square reported total liabilities of $171.0 million at 2025-06-30, up 9.4% from $156.4 million a year earlier. From 2011 to 2025 it grew at a compound 8.0% a year, from $57.9 million to $171.0 million. Across the last five reported years it ranged from $136.1 million (2021-06-30) to $171.0 million (2025-06-30). That was 364.5% of total assets ($46.9 million) 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

Recognized obligations at the reporting date. The definition and scope differ from interest-bearing debt.

Exact concept: us-gaap:Liabilities. 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 2011-06-30 to 2025-06-30. The SEC response was captured on 2026-09-19.

Selected filing history

Total liabilities in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
-2025-06-30171,040,000USD2025-09-3010-K · 0001493152-25-016135 SEC
-2024-06-30156,412,000USD2025-09-3010-K · 0001493152-25-016135 SEC
-2023-06-30144,735,000USD2024-09-3010-K · 0001493152-24-038779 SEC
-2022-06-30140,231,000USD2023-10-1610-K/A · 0001493152-23-037386 SEC
-2021-06-30136,074,000USD2022-09-2810-K · 0001493152-22-027008 SEC
-2020-06-30135,095,000USD2021-09-1710-K · 0001493152-21-022980 SEC
-2019-06-30136,872,000USD2020-09-0910-K · 0001493152-20-017492 SEC
-2018-06-30137,489,000USD2019-08-3010-K · 0001144204-19-043034 SEC
-2017-06-30142,368,000USD2018-08-3110-K · 0001144204-18-047600 SEC
-2016-06-30144,907,000USD2017-10-1310-K · 0001144204-17-052401 SEC
-2015-06-30140,777,000USD2016-09-2810-K · 0001144204-16-125803 SEC
-2014-06-30149,998,000USD2015-09-0410-K · 0001144204-15-053834 SEC
-2013-06-3055,294,000USD2014-09-2910-K · 0001144204-14-058308 SEC
-2012-06-3055,072,000USD2013-09-1810-K · 0001144204-13-051349 SEC
-2011-06-3057,914,000USD2012-09-2010-K · 0001144204-12-052253 SEC

Related PORTSMOUTH SQUARE, INC. histories

All 36 Portsmouth Square histories

Inspect the source

Entity
PORTSMOUTH SQUARE, INC. / CIK 0000079661
Captured
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.

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/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"])))