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SP Plus Corp: general and administrative expense

General and administrative expense for SP Plus Corp. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All SP Plus Corp financial histories

What this measure means

General and administrative costs reported under this concept, separate from selling expense. Filers group overhead differently, so compare presentation before comparing companies.

Exact concept: us-gaap:GeneralAndAdministrativeExpense. 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 2009-01-01 to 2023-12-31. The SEC response was captured on 2026-09-22.

This selected history ends more than two years before capture. Do not treat its final value as a current balance or current annual result. More recent filings may use another accounting tag; inspect the filings before drawing conclusions about the company.

Selected filing history

General and administrative expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2023-01-012023-12-31140,400,000USD2024-02-2810-K · 0000950170-24-021554
2022-01-012022-12-31109,100,000USD2024-02-2810-K · 0000950170-24-021554
2021-01-012021-12-3188,200,000USD2024-02-2810-K · 0000950170-24-021554
2020-01-012020-12-3185,400,000USD2023-02-2410-K · 0000950170-23-004261
2019-01-012019-12-31109,000,000USD2022-02-2810-K · 0001564590-22-007627
2018-01-012018-12-3191,000,000USD2021-02-2210-K · 0001564590-21-007047
2017-01-012017-12-3182,900,000USD2020-02-2010-K · 0001059262-20-000006
2016-01-012016-12-3190,000,000USD2019-02-2710-K · 0001059262-19-000015
2015-01-012015-12-3197,300,000USD2018-02-2210-K · 0001059262-18-000008
2014-01-012014-12-31101,500,000USD2017-02-2410-K · 0001059262-17-000011
2013-01-012013-12-3198,900,000USD2016-03-0110-K · 0001628280-16-012094
2012-01-012012-12-3186,540,000USD2015-03-0610-K · 0001047469-15-001787
2011-01-012011-12-3148,297,000USD2014-03-1310-K · 0001047469-14-002333
2010-01-012010-12-3147,878,000USD2013-11-1910-K/A · 0001047469-13-010635
2009-01-012009-12-3144,707,000USD2012-03-1510-K · 0001193125-12-115271

Related SP Plus Corp histories

Inspect the source

Entity
SP Plus Corp / CIK 0001059262
Captured
SEC response SHA-256
5575b72cb11b672c0a9ac83b7127bf62e89423174e7985f79c6865cd27b2af45

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/0001059262.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"])))