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MERCER INTERNATIONAL INC.: net inventory

Net inventory for MERCER INTERNATIONAL INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All MERCER INTERNATIONAL INC. financial histories

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 2026-09-20.

Coverage by original unit

These are separate reported series. A newer period in one unit does not update another unit’s history or establish a currency conversion.

Selected filing history

Net inventory in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2012-12-31118,300,000EUR2013-02-1510-K · 0001193125-13-062873
At date2011-12-31120,539,000EUR2013-02-1510-K · 0001193125-13-062873
At date2010-12-31102,219,000EUR2012-02-2110-K · 0001193125-12-070602
At date2025-12-31359,401,000USD2026-02-1210-K · 0001193125-26-048855
At date2024-12-31361,682,000USD2026-02-1210-K · 0001193125-26-048855
At date2023-12-31414,161,000USD2025-02-2010-K · 0000950170-25-024217
At date2022-12-31450,470,000USD2024-02-1510-K · 0000950170-24-015942
At date2021-12-31356,731,000USD2023-02-1610-K · 0000950170-23-003075
At date2020-12-31271,696,000USD2022-02-1710-K · 0001564590-22-005582
At date2019-12-31272,599,000USD2021-02-1610-K · 0001564590-21-006106
At date2018-12-31303,813,000USD2020-02-1310-K · 0001564590-20-004625
At date2017-12-31176,601,000USD2019-02-1410-K · 0001193125-19-041195
At date2016-12-31133,451,000USD2018-02-1610-K · 0001193125-18-048495
At date2015-12-31141,001,000USD2017-02-1010-K · 0001193125-17-038455
At date2014-12-31146,576,000USD2016-02-1210-K · 0001193125-16-462422
At date2013-12-31170,908,000USD2015-02-1310-K · 0001193125-15-050364
At date2012-12-31155,979,000USD2014-02-2110-K · 0001193125-14-061585

Related financial histories

Inspect the source

Entity
MERCER INTERNATIONAL INC. / CIK 0001333274
Captured
2026-09-20T07:53:27.397Z
SEC response SHA-256
20ad11b2109017b1dbdd0f97d397c16f21e20fa3df6029e0b237f55252097dd5

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/0001333274.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"])))