Ampco-Pittsburgh Corp: net inventory
Ampco-Pittsburgh net inventory: $104.4 million at 2025-12-31, down 10.6% on the year. 16 values since 2010 from SEC filings, each linked to its filing.
All Ampco-Pittsburgh Corp financial histories
At a glance
Ampco-Pittsburgh reported net inventory of $104.4 million at 2025-12-31, down 10.6% from $116.8 million a year earlier. From 2010 to 2025 it grew at a compound 2.8% a year, from $68.8 million to $104.4 million. Across the last five reported years it ranged from $104.4 million (2025-12-31) to $124.7 million (2023-12-31). That was 21.1% of total assets ($495.4 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
Inventory carrying amount after applicable valuation and LIFO reserves. It does not establish realizable selling proceeds or inventory turnover without other inputs.
Exact concept: us-gaap:InventoryNet. 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
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| - | 2025-12-31 | 104,431,000 | USD | 2026-03-16 | 10-K · 0001193125-26-108598 SEC |
| - | 2024-12-31 | 116,761,000 | USD | 2026-03-16 | 10-K · 0001193125-26-108598 SEC |
| - | 2023-12-31 | 124,694,000 | USD | 2025-03-17 | 10-K · 0000950170-25-040259 SEC |
| - | 2022-12-31 | 121,739,000 | USD | 2024-03-25 | 10-K · 0000950170-24-036011 SEC |
| - | 2021-12-31 | 108,717,000 | USD | 2023-03-21 | 10-K · 0000950170-23-008972 SEC |
| - | 2020-12-31 | 73,243,000 | USD | 2022-03-17 | 10-K · 0001564590-22-010687 SEC |
| - | 2019-12-31 | 82,289,000 | USD | 2021-03-26 | 10-K · 0001564590-21-015797 SEC |
| - | 2018-12-31 | 94,196,000 | USD | 2020-03-16 | 10-K · 0001564590-20-011218 SEC |
| - | 2017-12-31 | 93,452,000 | USD | 2019-03-18 | 10-K · 0001564590-19-008247 SEC |
| - | 2016-12-31 | 83,579,000 | USD | 2018-03-16 | 10-K · 0001564590-18-006027 SEC |
| - | 2015-12-31 | 59,734,000 | USD | 2017-03-16 | 10-K · 0001193125-17-085559 SEC |
| - | 2014-12-31 | 54,713,000 | USD | 2016-03-15 | 10-K · 0001193125-16-504538 SEC |
| - | 2013-12-31 | 64,129,000 | USD | 2015-03-16 | 10-K · 0001193125-15-092495 SEC |
| - | 2012-12-31 | 70,669,000 | USD | 2014-03-17 | 10-K · 0001193125-14-101554 SEC |
| - | 2011-12-31 | 68,544,000 | USD | 2013-03-15 | 10-K · 0001193125-13-109403 SEC |
| - | 2010-12-31 | 68,822,000 | USD | 2012-03-15 | 10-K · 0001193125-12-116379 SEC |
Related AMPCO-PITTSBURGH CORP histories
Inspect the source
- Entity
- AMPCO-PITTSBURGH CORP / CIK 0000006176
- Captured
- SEC response SHA-256
e6f8bae5ec73b732c34eef4e3c38adc597b91eefe745230b74c224373299e448
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
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Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000006176.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"])))