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Graham Corporation: diluted weighted-average shares

Graham diluted weighted-average shares: 11.1 million shares for the year ending 2026-03-31, up 0.7% on the year. 17 values since 2010 from SEC filings.

All Graham Corporation financial histories

At a glance

Graham reported diluted weighted-average shares of 11.1 million shares for the year ending 2026-03-31, up 0.7% from 11.1 million shares a year earlier. From 2010 to 2026 it grew at a compound 0.7% a year, from 9.94 million shares to 11.1 million shares. Across the last five reported years it ranged from 10.5 million shares (2022-03-31) to 11.1 million shares (2026-03-31).

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

What this measure means

Weighted-average shares used for diluted earnings per share. Potential shares are included under the applicable dilution rules, not simply added to outstanding shares.

Exact concept: us-gaap:WeightedAverageNumberOfDilutedSharesOutstanding. 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 2026-09-19.

Selected filing history

Diluted weighted-average shares in original reported units, latest-filed observation per period
Period startPeriod endValueUnitFiledSource filing
2025-04-012026-03-3111,138,000shares2026-06-0810-K · 0001193125-26-260688 SEC
2024-04-012025-03-3111,066,000shares2026-06-0810-K · 0001193125-26-260688 SEC
2023-04-012024-03-3110,844,000shares2026-06-0810-K · 0001193125-26-260688 SEC
2022-04-012023-03-3110,654,000shares2025-06-0910-K · 0000950170-25-083450 SEC
2021-04-012022-03-3110,541,000shares2024-06-0710-K · 0000950170-24-070222 SEC
2020-04-012021-03-319,959,000shares2023-06-0810-K · 0000950170-23-026915 SEC
2019-04-012020-03-319,879,000shares2022-06-0910-K · 0000950170-22-011403 SEC
2018-04-012019-03-319,823,000shares2021-06-0210-K · 0001564590-21-031421 SEC
2017-04-012018-03-319,764,000shares2020-06-1510-K · 0001564590-20-029237 SEC
2016-04-012017-03-319,728,000shares2019-05-3110-K · 0001564590-19-021076 SEC
2015-04-012016-03-319,983,000shares2018-06-0410-K · 0001564590-18-014971 SEC
2014-04-012015-03-3110,143,000shares2017-06-0510-K · 0001564590-17-012090 SEC
2013-04-012014-03-3110,104,000shares2017-02-0810-K/A · 0001564590-17-001121 SEC
2012-04-012013-03-3110,051,000shares2015-06-0210-K · 0001193125-15-209819 SEC
2011-04-012012-03-319,998,000shares2014-06-0410-K · 0001193125-14-224704 SEC
2010-04-012011-03-319,958,000shares2013-06-0510-K · 0001193125-13-247725 SEC
2009-04-012010-03-319,937,000shares2012-06-0710-K · 0001193125-12-263414 SEC

Related GRAHAM CORPORATION histories

All 58 Graham histories

Inspect the source

Entity
GRAHAM CORPORATION / CIK 0000716314
Captured
SEC response SHA-256
f00f46d3e22c4bff785f138255eb304386077f7e1a104da7ce8f652b039fc314

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/0000716314.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"])))