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MANITEX INTERNATIONAL, INC.: selling, general and administrative expense

Selling, general and administrative expense for MANITEX INTERNATIONAL, INC. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All MANITEX INTERNATIONAL, INC. financial histories

What this measure means

Selling and general administrative costs reported under this concept. It is an expense category, not a substitute for total operating expenses.

Exact concept: us-gaap:SellingGeneralAndAdministrativeExpense. 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 2026-09-21.

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

Selling, general and administrative expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2023-01-012023-12-3143,122,000USD2024-02-2910-K · 0000950170-24-022676
2022-01-012022-12-3140,417,000USD2024-02-2910-K · 0000950170-24-022676
2021-01-012021-12-3131,948,000USD2023-03-0810-K · 0000950170-23-006604
2020-01-012020-12-3128,743,000USD2022-03-0910-K · 0001564590-22-009245
2019-01-012019-12-3134,086,000USD2021-03-1110-K · 0001564590-21-012572
2018-01-012018-12-3135,707,000USD2020-03-1010-K · 0001564590-20-009610
2017-01-012017-12-3134,547,000USD2020-03-1010-K · 0001564590-20-009610
2016-01-012016-12-3136,972,000USD2019-03-1510-K · 0001564590-19-007979
2015-01-012015-12-3139,160,000USD2018-04-1110-K · 0001564590-18-007958
2014-01-012014-12-3121,497,000USD2018-04-0310-K/A · 0001564590-18-007540
2013-01-012013-12-3124,399,000USD2016-03-1010-K · 0001564590-16-014447
2012-01-012012-12-3123,548,000USD2015-03-1610-K · 0001193125-15-093205
2011-01-012011-12-3119,895,000USD2014-03-1110-K · 0001193125-14-093872
2010-01-012010-12-3116,624,000USD2013-03-1410-K · 0001193125-13-107189
2009-01-012009-12-3110,537,000USD2012-03-2310-K · 0001193125-12-129616

Related financial histories

Inspect the source

Entity
MANITEX INTERNATIONAL, INC. / CIK 0001302028
Captured
2026-09-21T17:19:06.644Z
SEC response SHA-256
ffb7f1b2c55c04443fce929e31ea0501841c7b66ddd772bf16429f44c7b27576

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/0001302028.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"])))