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BURLINGTON NORTHERN SANTA FE, LLC: financial reference

Explore BURLINGTON NORTHERN SANTA FE, LLC financial histories from SEC filings, with original units, reporting periods, filing dates and downloadable source data.

Reported financial histories

Choose a measure to inspect its definition, complete selected history and filing provenance. Each row shows the latest period available for that selected concept and original unit. Separate currencies and reporting intervals remain separate rows. Coverage dates can differ between concepts. A recent capture does not imply recent accounting coverage; these amounts are not prices.

Latest periods by selected concept and original unit
MeasurePeriod startPeriod endValueUnitFiled
Total assetsAt date2025-12-3197,889,000,000USD2026-03-02
Total liabilitiesAt date2025-12-3146,255,000,000USD2026-03-02
Stockholders equityAt date2025-12-3151,634,000,000USD2026-03-02
Cash and cash equivalentsAt date2025-12-312,463,000,000USD2026-03-02
Net income or loss2025-01-012025-12-315,476,000,000USD2026-03-02
Operating cash flow2025-01-012025-12-318,126,000,000USD2026-03-02
Revenue2025-01-012025-12-31105,000,000USD2026-03-02
Contract revenue excluding tax2025-01-012025-12-3123,421,000,000USD2026-03-02
Financing cash flow2025-01-012025-12-31-3,840,000,000USD2026-03-02
Investing cash flow2025-01-012025-12-31-3,827,000,000USD2026-03-02
Retained earnings or deficitAt date2018-01-013,000,000USD2019-02-25
Basic earnings per share2009-01-012009-12-315.04USD/shares2010-02-11
Diluted earnings per share2009-01-012009-12-315.01USD/shares2010-02-11
Income tax expense or benefit2025-01-012025-12-311,699,000,000USD2026-03-02
Net property, plant and equipmentAt date2025-12-3172,372,000,000USD2026-03-02
Operating income or loss2025-01-012025-12-318,055,000,000USD2026-03-02
Current assetsAt date2025-12-315,011,000,000USD2026-03-02
Current liabilitiesAt date2025-12-314,427,000,000USD2026-03-02
Current accounts payableAt date2025-12-31374,000,000USD2026-03-02
Goodwill carrying amountAt date2025-12-3115,351,000,000USD2026-03-02
Net finite-lived intangible assetsAt date2018-12-31373,000,000USD2019-02-25
Net current accounts receivableAt date2025-12-311,320,000,000USD2026-03-02
Common-stock repurchase payments2009-01-012009-12-3116,000,000USD2010-02-11
Operating expenses2025-01-012025-12-3115,366,000,000USD2026-03-02
Cash including restricted cashAt date2025-12-312,463,000,000USD2026-03-02
Accumulated other comprehensive income or lossAt date2025-12-31498,000,000USD2026-03-02
Total equity including noncontrolling interestsAt date2024-12-31581,000,000USD2025-02-24
Operating lease right-of-use assetAt date2025-12-311,207,000,000USD2026-03-02
Operating lease liabilityAt date2025-12-311,124,000,000USD2026-03-02
Long-term debtAt date2025-12-3124,004,000,000USD2026-03-02
Gross property, plant and equipmentAt date2025-12-3194,699,000,000USD2026-03-02
Accumulated depreciation on property, plant and equipmentAt date2025-12-3122,327,000,000USD2026-03-02
Other noncurrent assetsAt date2025-12-313,948,000,000USD2026-03-02
Other noncurrent liabilitiesAt date2025-12-31921,000,000USD2026-03-02
Net deferred tax liabilitiesAt date2025-12-3115,985,000,000USD2026-03-02
Pre-tax income or loss from continuing operations2025-01-012025-12-317,175,000,000USD2026-03-02
Comprehensive income or loss2025-01-012025-12-315,393,000,000USD2026-03-02
Depreciation, depletion and amortization2025-01-012025-12-312,737,000,000USD2026-03-02
Amortization of intangible assets2018-01-012018-12-3136,000,000USD2019-02-25
Other nonoperating income or expense2025-01-012025-12-31218,000,000USD2026-03-02
Current income tax expense or benefit2025-01-012025-12-311,384,000,000USD2026-03-02
Deferred income tax expense or benefit2025-01-012025-12-31315,000,000USD2026-03-02
Interest paid, net2025-01-012025-12-311,106,000,000USD2026-03-02
Income taxes paid, net2025-01-012025-12-311,368,000,000USD2026-03-02
Operating lease payments2025-01-012025-12-31361,000,000USD2026-03-02
Change in accounts receivable2025-01-012025-12-31-67,000,000USD2026-03-02

Filings

60 BURLINGTON NORTHERN SANTA FE, LLC filings with published measures: what each annual or quarterly report tagged, with the periods it covered, as reported in that filing. The histories above show the latest-filed value per period.

Inspect the source

Entity
BURLINGTON NORTHERN SANTA FE, LLC / CIK 0000934612
Captured
2026-09-21T17:17:31.717Z
SEC response SHA-256
823b263d5be38badd2cda0e60fe8fe9e93d6983c6248ce0d0edde54542f2735d

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/0000934612.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"])))