Skip to content

PAMT Corp: total assets

PAMT total assets: $697.9 million at 2025-12-31, down 5.9% on the year. 16 values since 2010 from SEC filings, each linked to its filing. In original units.

All PAMT Corp financial histories

At a glance

PAMT reported total assets of $697.9 million at 2025-12-31, down 5.9% from $741.7 million a year earlier. From 2010 to 2025 it grew at a compound 6.7% a year, from $264.3 million to $697.9 million. Across the last five reported years it ranged from $587.4 million (2021-12-31) to $760.5 million (2023-12-31).

Computed from the values in the table below, in USD; each links to the filing it came from.

What this measure means

Resources recognized on the balance sheet. Book assets are not the market value of the business.

Exact concept: us-gaap:Assets. 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 2010-12-31 to 2025-12-31. The SEC response was captured on 2026-09-19.

Selected filing history

Total assets in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
-2025-12-31697,912,000USD2026-03-1210-K · 0001437749-26-007960 SEC
-2024-12-31741,654,000USD2026-03-1210-K · 0001437749-26-007960 SEC
-2023-12-31760,457,000USD2025-03-1210-K · 0001437749-25-007273 SEC
-2022-12-31749,162,000USD2024-03-1310-K · 0001437749-24-007638 SEC
-2021-12-31587,381,000USD2023-03-1010-K · 0001437749-23-006150 SEC
-2020-12-31578,592,000USD2022-03-1110-K · 0001437749-22-005995 SEC
-2019-12-31498,009,000USD2021-03-0510-K · 0001437749-21-005114 SEC
-2018-12-31466,066,000USD2020-03-1310-K · 0001437749-20-005139 SEC
-2017-12-31392,185,000USD2019-03-1210-K · 0001437749-19-004644 SEC
-2016-12-31380,066,000USD2018-03-0910-K · 0001437749-18-004278 SEC
-2015-12-31357,995,000USD2017-03-1410-K · 0001437749-17-004478 SEC
-2014-12-31324,605,000USD2016-03-1510-K · 0001437749-16-027684 SEC
-2013-12-31329,302,000USD2015-03-1610-K · 0001437749-15-005163 SEC
-2012-12-31317,669,000USD2014-03-1410-K · 0001437749-14-004185 SEC
-2011-12-31279,093,000USD2013-03-1510-K · 0000798287-13-000007 SEC
-2010-12-31264,340,000USD2012-03-1510-K · 0000798287-12-000005 SEC

Related PAMT CORP histories

All 48 PAMT histories

Inspect the source

Entity
PAMT CORP / CIK 0000798287
Captured
SEC response SHA-256
66ec21c1ddd3d914d7da02f4324a6d8ef68f2bc322d07fca5eab9fa0722fcf35

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/0000798287.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"])))