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HURON CONSULTING GROUP INC.: capital expenditure payments

Capital expenditure payments for HURON CONSULTING GROUP INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All HURON CONSULTING GROUP INC. financial histories

What this measure means

Cash payments to acquire property, plant and equipment. This taxonomy concept does not capture every form of investment or acquisition.

Exact concept: us-gaap:PaymentsToAcquirePropertyPlantAndEquipment. 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

Capital expenditure payments in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-01-012025-12-3110,437,000USD2026-02-2410-K · 0001628280-26-011093
2024-01-012024-12-318,651,000USD2026-02-2410-K · 0001628280-26-011093
2023-01-012023-12-319,444,000USD2026-02-2410-K · 0001628280-26-011093
2022-01-012022-12-3112,547,000USD2025-02-2510-K · 0001289848-25-000032
2021-01-012021-12-3110,871,000USD2024-02-2710-K · 0001289848-24-000036
2020-01-012020-12-318,125,000USD2023-02-2810-K · 0001289848-23-000010
2019-01-012019-12-3113,240,000USD2022-02-2410-K · 0001289848-22-000008
2018-01-012018-12-318,936,000USD2021-02-2310-K · 0001289848-21-000009
2017-01-012017-12-3124,402,000USD2020-02-2610-K · 0001289848-20-000006
2016-01-012016-12-3113,936,000USD2019-02-2710-K · 0001289848-19-000014
2015-01-012015-12-3118,571,000USD2018-02-2810-K · 0001289848-18-000012
2014-01-012014-12-3125,913,000USD2017-02-2310-K · 0001289848-17-000014
2013-01-012013-12-3120,225,000USD2016-02-2310-K · 0001289848-16-000034
2012-01-012012-12-3117,521,000USD2015-02-2410-K · 0001193125-15-060049
2011-01-012011-12-3114,731,000USD2014-02-2610-K · 0001193125-14-069901
2010-01-012010-12-318,500,000USD2013-02-2110-K · 0001193125-13-069461
2009-01-012009-12-3112,616,000USD2012-02-2310-K · 0001193125-12-075567
2008-01-012008-12-3119,821,000USD2011-02-2210-K · 0000950123-11-016457

Related financial histories

Inspect the source

Entity
HURON CONSULTING GROUP INC. / CIK 0001289848
Captured
2026-09-20T07:49:57.873Z
SEC response SHA-256
9b79cdbf9e40453c48c726926e259a5f0e40e0266d2cba6cb843c5dd6a660170

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/0001289848.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"])))