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GEOSPACE TECHNOLOGIES CORP: operating lease liability

Operating lease liability for GEOSPACE TECHNOLOGIES CORP. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All GEOSPACE TECHNOLOGIES CORP 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 2020-09-30 to 2025-09-30. The SEC response was captured on 2026-09-20.

Selected filing history

Operating lease liability in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
At date2025-09-30974,000USD2025-11-2110-K · 0001437749-25-036009
At date2024-09-30512,000USD2024-11-2210-K · 0001437749-24-036050
At date2023-09-30769,000USD2023-11-1710-K · 0001437749-23-032446
At date2022-09-301,010,000USD2022-11-1810-K · 0000950170-22-025429
At date2021-09-301,234,000USD2021-11-1910-K · 0001564590-21-057727
At date2020-09-3083,000USD2020-11-2010-K · 0001564590-20-054742

Related financial histories

Inspect the source

Entity
GEOSPACE TECHNOLOGIES CORP / CIK 0001001115
Captured
2026-09-20T05:11:08.589Z
SEC response SHA-256
877048aa4427aa52b67d5c7618e30af1c74a1983d35b5866daddd811380671fc

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/0001001115.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"])))