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Ascent Industries Co.: total liabilities

Ascent Industries total liabilities: $24.9 million at 2025-12-31, down 53.6% on the year. 6 values since 2020 from SEC filings, each linked to its filing.

All Ascent Industries Co. financial histories

At a glance

Ascent Industries reported total liabilities of $24.9 million at 2025-12-31, down 53.6% from $53.7 million a year earlier. From 2020 to 2025 it fell at a compound 27.8% a year, from $126.7 million to $24.9 million. Across the last five reported years it ranged from $24.9 million (2025-12-31) to $154.4 million (2021-12-31). That was 22.3% of total assets ($111.9 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 2020-12-31 to 2025-12-31. 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
-2025-12-3124,945,000USD2026-03-0310-K · 0000095953-26-000040 SEC
-2024-12-3153,705,000USD2026-03-0310-K · 0000095953-26-000040 SEC
-2023-12-3155,885,000USD2025-03-0410-K · 0000095953-25-000007 SEC
-2022-12-31134,784,000USD2024-04-0110-K · 0000095953-24-000018 SEC
-2021-12-31154,412,000USD2023-03-3110-K · 0000095953-23-000008 SEC
-2020-12-31126,689,000USD2022-03-2910-K · 0000095953-22-000037 SEC

Related Ascent Industries Co. histories

All 60 Ascent Industries histories

Inspect the source

Entity
Ascent Industries Co. / CIK 0000095953
Captured
SEC response SHA-256
718158084365805923d1c29557b6f8b6465be8db13cb42f7ff07b6c1e9e986bd

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/0000095953.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"])))