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NATURAL RESOURCE PARTNERS LP: investing cash flow

Investing cash flow for NATURAL RESOURCE PARTNERS LP. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All NATURAL RESOURCE PARTNERS LP financial histories

What this measure means

Net cash from investing activities, including asset purchases, disposals and investment transactions. This differs from capital expenditure payments alone.

Exact concept: us-gaap:NetCashProvidedByUsedInInvestingActivities. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.

Coverage of this history

Selected reporting periods run from 2008-01-01 to 2025-12-31. The SEC response was captured on 2026-09-20.

Selected filing history

Investing cash flow in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-314,768,000USD2026-02-2710-K · 0001437749-26-006147
2024-01-012024-12-317,511,000USD2026-02-2710-K · 0001437749-26-006147
2023-01-012023-12-315,416,000USD2026-02-2710-K · 0001437749-26-006147
2022-01-012022-12-312,688,000USD2025-02-2810-K · 0001437749-25-005715
2021-01-012021-12-312,412,000USD2024-03-0710-K · 0001437749-24-007008
2020-01-012020-12-311,680,000USD2023-03-0310-K · 0001437749-23-005274
2019-01-012019-12-317,592,000USD2022-03-1510-K · 0001171486-22-000021
2018-01-012018-12-31190,628,000USD2021-03-1510-K · 0001171486-21-000009
2017-01-012017-12-313,543,000USD2020-02-2710-K · 0001171486-20-000006
2016-01-012016-12-31166,815,000USD2019-03-0710-K · 0001171486-19-000011
2015-01-012015-12-31-30,271,000USD2018-03-0110-K · 0001171486-18-000014
2014-01-012014-12-31-520,503,000USD2017-03-0610-K · 0001171486-17-000010
2013-01-012013-12-31-302,765,000USD2014-11-1310-K/A · 0001193125-14-411321
2012-01-012012-12-31-212,733,000USD2014-11-1310-K/A · 0001193125-14-411321
2011-01-012011-12-31-115,088,000USD2014-11-1310-K/A · 0001193125-14-411321
2010-01-012010-12-31-170,796,000USD2013-02-2810-K · 0001193125-13-083594
2009-01-012009-12-31-119,911,000USD2012-02-2910-K · 0001193125-12-088481
2008-01-012008-12-31-9,828,000USD2011-02-2810-K · 0000950123-11-019405

Related financial histories

Inspect the source

Entity
NATURAL RESOURCE PARTNERS LP / CIK 0001171486
Captured
2026-09-20T07:44:15.390Z
SEC response SHA-256
9ac087e332bef53eaad3990a9ce2e339ec84f73a5f3ee4f2b4739279670b8f77

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/0001171486.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"])))