DOLLAR TREE, INC.: operating lease liability
Operating lease liability for DOLLAR TREE, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All DOLLAR TREE, INC. financial histories
What this measure means
Present value of remaining operating lease payments. Discount-rate choices and lease terms affect the amount; it is not the sum of undiscounted future rent.
Exact concept: us-gaap:OperatingLeaseLiability. 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 2019-02-02 to 2026-01-31. The SEC response was captured on 2026-09-20.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| At date | 2026-01-31 | 4,623,900,000 | USD | 2026-03-16 | 10-K · 0000935703-26-000025 |
| At date | 2025-02-01 | 4,399,400,000 | USD | 2025-03-26 | 10-K · 0000935703-25-000015 |
| At date | 2024-02-03 | 6,960,600,000 | USD | 2024-03-20 | 10-K · 0000935703-24-000011 |
| At date | 2023-01-28 | 6,704,900,000 | USD | 2023-03-10 | 10-K · 0000935703-23-000016 |
| At date | 2022-01-29 | 6,553,300,000 | USD | 2022-03-15 | 10-K · 0000935703-22-000020 |
| At date | 2021-01-30 | 6,413,700,000 | USD | 2021-03-16 | 10-K · 0000935703-21-000014 |
| At date | 2020-02-01 | 6,258,800,000 | USD | 2020-03-20 | 10-K · 0000935703-20-000006 |
| At date | 2019-02-02 | 6,100,000,000 | USD | 2022-03-15 | 10-K · 0000935703-22-000020 |
Related financial histories
- DOLLAR TREE, INC.: total assets
- DOLLAR TREE, INC.: total liabilities
- DOLLAR TREE, INC.: stockholders equity
- DOLLAR TREE, INC.: cash and cash equivalents
- DOLLAR TREE, INC.: net income or loss
- DOLLAR TREE, INC.: operating cash flow
- DOLLAR TREE, INC.: capital expenditure payments
- DOLLAR TREE, INC.: revenue
- DOLLAR TREE, INC.: contract revenue excluding tax
- DOLLAR TREE, INC.: financing cash flow
- DOLLAR TREE, INC.: investing cash flow
- DOLLAR TREE, INC.: retained earnings or deficit
- DOLLAR TREE, INC.: basic weighted-average shares
- DOLLAR TREE, INC.: diluted weighted-average shares
- DOLLAR TREE, INC.: basic earnings per share
- DOLLAR TREE, INC.: diluted earnings per share
- DOLLAR TREE, INC.: income tax expense or benefit
- DOLLAR TREE, INC.: net property, plant and equipment
- DOLLAR TREE, INC.: share-based compensation expense
- DOLLAR TREE, INC.: operating income or loss
- DOLLAR TREE, INC.: current assets
- DOLLAR TREE, INC.: current liabilities
- DOLLAR TREE, INC.: current accounts payable
- DOLLAR TREE, INC.: goodwill carrying amount
- DOLLAR TREE, INC.: common-stock repurchase payments
- DOLLAR TREE, INC.: gross profit
- DOLLAR TREE, INC.: selling, general and administrative expense
- DOLLAR TREE, INC.: common shares outstanding
- DOLLAR TREE, INC.: cash including restricted cash
- DOLLAR TREE, INC.: additional paid-in capital
- DOLLAR TREE, INC.: accumulated other comprehensive income or loss
- DOLLAR TREE, INC.: total equity including noncontrolling interests
- DOLLAR TREE, INC.: operating lease right-of-use asset
- DOLLAR TREE, INC.: long-term debt
- DOLLAR TREE, INC.: gross property, plant and equipment
- DOLLAR TREE, INC.: accumulated depreciation on property, plant and equipment
- DOLLAR TREE, INC.: other noncurrent assets
- DOLLAR TREE, INC.: other noncurrent liabilities
- DOLLAR TREE, INC.: prepaid expenses and other current assets
- DOLLAR TREE, INC.: net deferred tax assets
- DOLLAR TREE, INC.: net deferred tax liabilities
- DOLLAR TREE, INC.: pre-tax income or loss from continuing operations
- DOLLAR TREE, INC.: comprehensive income or loss
- DOLLAR TREE, INC.: net income available to common stockholders
- DOLLAR TREE, INC.: depreciation expense
- DOLLAR TREE, INC.: depreciation, depletion and amortization
- DOLLAR TREE, INC.: amortization of intangible assets
- DOLLAR TREE, INC.: other nonoperating income or expense
- DOLLAR TREE, INC.: current income tax expense or benefit
- DOLLAR TREE, INC.: deferred income tax expense or benefit
- DOLLAR TREE, INC.: interest paid, net
- DOLLAR TREE, INC.: income taxes paid, net
- DOLLAR TREE, INC.: operating lease payments
- DOLLAR TREE, INC.: change in accounts payable
Inspect the source
- Entity
- DOLLAR TREE, INC. / CIK 0000935703
- Captured
- 2026-09-20T05:09:43.851Z
- SEC response SHA-256
e848ce86b0df51740450fc079721862fb958621c0c62a59a739af96ff8bdb5ab
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.
- Get an API key and run your first validation
- Connect the MCP server to your coding assistant
- Inspect the ALPHAC engine on GitHub
- Read the MCP server source and integration examples
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0000935703.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"])))