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Friedman Industries Inc: selling, general and administrative expense

Friedman Industries selling, general and administrative expense: $16.2 million for the year ending 2025-03-31, down 23.1% on the year. 15 values since 2011.

All Friedman Industries Inc financial histories

At a glance

Friedman Industries reported selling, general and administrative expense of $16.2 million for the year ending 2025-03-31, down 23.1% from $21.0 million a year earlier. From 2011 to 2025 it grew at a compound 8.4% a year, from $5.25 million to $16.2 million. Across the last five reported years it ranged from $7.84 million (2021-03-31) to $21.9 million (2023-03-31).

Computed from the values in the table below, in USD; each links to the filing it came from.

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 2010-04-01 to 2025-03-31. The SEC response was captured on 2026-09-19.

Selected filing history

Selling, general and administrative expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2024-04-012025-03-3116,171,000USD2025-06-1210-K · 0001437749-25-020219 SEC
2023-04-012024-03-3121,039,000USD2025-06-1210-K · 0001437749-25-020219 SEC
2022-04-012023-03-3121,894,000USD2024-06-1110-K · 0001437749-24-019948 SEC
2021-04-012022-03-3112,467,000USD2023-07-1410-K · 0001437749-23-019969 SEC
2020-04-042021-03-317,835,184USD2022-08-0210-K · 0001437749-22-018429 SEC
2020-04-012021-03-317,835,184USD2021-07-0710-K · 0001437749-21-016577 SEC
2019-04-012020-03-315,124,572USD2021-07-0710-K · 0001437749-21-016577 SEC
2018-04-012019-03-314,782,510USD2020-06-3010-K · 0001437749-20-014128 SEC
2017-04-012018-03-314,181,657USD2019-07-0110-K · 0001437749-19-013251 SEC
2016-04-012017-03-314,018,199USD2018-06-2810-K · 0001437749-18-012627 SEC
2015-04-012016-03-314,670,273USD2017-06-2910-K · 0001437749-17-012013 SEC
2014-04-012015-03-314,453,292USD2016-06-2910-K · 0001437749-16-034621 SEC
2013-04-012014-03-314,587,787USD2015-06-1110-K · 0001193125-15-220552 SEC
2012-04-012013-03-315,314,971USD2014-06-1110-K · 0001193125-14-233511 SEC
2011-04-012012-03-315,491,737USD2013-06-1310-K · 0001193125-13-257934 SEC
2010-04-012011-03-315,251,610USD2012-06-1910-K · 0001193125-12-275255 SEC

Related FRIEDMAN INDUSTRIES INC histories

All 41 Friedman Industries histories

Inspect the source

Entity
FRIEDMAN INDUSTRIES INC / CIK 0000039092
Captured
SEC response SHA-256
5ae9c4cf0f65c283f668d21488226f851cc8a3e1f6ccf26d3c0bce799251eb31

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.

The MCP server is free and MIT-licensed: npx -y canli-mcp. If these records help your research, a star on GitHub helps other researchers find them.

Read the published dataset with Python
import json
from urllib.request import urlopen

with urlopen("https://canlicapital.com/company-data/0000039092.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"])))