Graham (GHM) Shares Outstanding (Entity) (2010 - 2026)
Graham's Shares Outstanding (Entity) came in at 11.73 million for fiscal Q1 2027 (quarter ended Jun 30, 2026), up 6.8% from 10.98 million a year earlier and up 5.9% from the prior quarter.
Graham (GHM) Shares Outstanding (Entity) (2010 - 2026) Analysis & Trends
For FY2026 (ended Mar 31, 2026), Graham's Shares Outstanding (Entity) was 11.07 million, up 1.6% from FY2025.
- Shares Outstanding (Entity) has increased in each of the last three fiscal years, with a five-year compound annual growth rate of 2.1% (FY2021 to FY2026).
- Going back by fiscal year, Shares Outstanding (Entity) was 10.9 million in FY2025 (+0.5%), 10.85 million in FY2024 (+2.0%), 10.64 million in FY2023 (unchanged) and 10.64 million in FY2022 (+6.8%).
- The fiscal Q1 2027 figure represents the highest quarterly Shares Outstanding (Entity) in data going back to fiscal Q1 2011.
- Year-over-year, Shares Outstanding (Entity) has increased for 13 consecutive quarters, with growth averaging 1.7% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Entity) over five years came in fiscal Q1 2027 (growth of 6.8%), and the weakest in fiscal Q1 2023 (a decline of 0.8%).
- Business Quant data shows GHM's Shares Outstanding (Entity) at 11.07 million (Q4 2026), 10.99 million (Q3 2026) and 10.99 million (Q2 2026) in the three fiscal quarters before Q1 2027.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 459.70 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.47 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 269.63 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 388.40 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 126.05 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 384.94 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 557.80 Mn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 515.72 Mn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 284.80 Mn |
| 10 | Graham | 1.01 Bn | 934.15 Mn | 17.80 Mn | 11.73 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.73 Mn |
| Mar 31, 2026 | 11.07 Mn |
| Dec 31, 2025 | 10.99 Mn |
| Sep 30, 2025 | 10.99 Mn |
| Jun 30, 2025 | 10.98 Mn |
| Mar 31, 2025 | 10.90 Mn |
| Dec 31, 2024 | 10.89 Mn |
| Sep 30, 2024 | 10.89 Mn |
| Jun 30, 2024 | 10.87 Mn |
| Mar 31, 2024 | 10.85 Mn |
| Dec 31, 2023 | 10.83 Mn |
| Sep 30, 2023 | 10.70 Mn |
| Jun 30, 2023 | 10.68 Mn |
| Mar 31, 2023 | 10.64 Mn |
| Dec 31, 2022 | 10.61 Mn |
| Sep 30, 2022 | 10.61 Mn |
| Jun 30, 2022 | 10.60 Mn |
| Mar 31, 2022 | 10.64 Mn |
| Dec 31, 2021 | 10.64 Mn |
| Sep 30, 2021 | 10.64 Mn |
Graham Shares Outstanding (Entity) API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=shares-outstanding-entity&ticker=GHM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "ticker": "GHM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding-entity&ticker=GHM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();