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Pyxus International, Inc.: selling, general and administrative expense

Selling, general and administrative expense for Pyxus International, Inc. Inspect selected reporting periods, original units and SEC filing links; download the financial history.

All Pyxus 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 2009-04-01 to 2026-03-31. The SEC response was captured on 2026-09-20.

Selected filing history

Selling, general and administrative expense in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-04-012026-03-31162,934,000USD2026-06-0410-K · 0000939930-26-000017
2024-04-012025-03-31170,998,000USD2026-06-0410-K · 0000939930-26-000017
2023-04-012024-03-31160,910,000USD2026-06-0410-K · 0000939930-26-000017
2022-04-012023-03-31151,531,000USD2025-06-1010-K · 0000939930-25-000035
2021-04-012022-03-31142,021,000USD2024-06-0610-K · 0000939930-24-000081
2019-04-012020-03-31199,016,000USD2022-06-1410-K · 0000939930-22-000030
2018-04-012019-03-31172,831,000USD2021-06-2910-K · 0000939930-21-000034
2017-04-012018-03-31148,287,000USD2020-08-2410-K · 0000939930-20-000054
2016-04-012017-03-31133,208,000USD2019-06-1410-K · 0000939930-19-000058
2015-04-012016-03-31123,546,000USD2018-06-0710-K · 0000939930-18-000037
2014-04-012015-03-31137,020,000USD2017-06-1410-K · 0000939930-17-000036
2013-04-012014-03-31134,086,000USD2016-07-1210-K · 0000939930-16-000150
2012-04-012013-03-31145,777,000USD2016-05-2510-K/A · 0000939930-16-000122
2011-04-012012-03-31147,558,000USD2014-06-0510-K · 0000939930-14-000022
2010-04-012011-03-31157,920,000USD2013-06-1710-K · 0000939930-13-000034
2009-04-012010-03-31155,376,000USD2012-06-1310-K · 0000939930-12-000021

Related financial histories

Inspect the source

Entity
Pyxus International, Inc. / CIK 0000939930
Captured
2026-09-20T05:09:59.449Z
SEC response SHA-256
765bf2d24ae6a04ecd74fc5af3f3c7102e56c701440049320e7db8721b00adb1

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/0000939930.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"])))