Graco (GGG) Shares Outstanding (Diluted) (2009 - 2026)
Graco (GGG) recorded Weighted Average Shares Outstanding (Diluted) of 163.02 million in Q3 2026, down 3.3% from 168.62 million a year earlier and down 1.6% from the prior quarter.
Graco (GGG) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Graco reported Weighted Average Shares Outstanding (Diluted) of 169.22 million, down 1.8% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has a five-year compound annual growth rate of -0.3% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding (Diluted) came in at 172.41 million in FY2024 (+0.1%), 172.2 million in FY2023 (-0.4%), 172.89 million in FY2022 (-0.9%) and 174.53 million in FY2021 (+1.5%).
- The Q3 2026 figure is the lowest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q4 2009.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has declined for seven consecutive quarters, with an average decline of 1.7% over the last eight quarters.
- Peak year-over-year performance for Weighted Average Shares Outstanding (Diluted) in the last five years was growth of 1.5% in Q4 2021, against a decline of 3.3% in Q3 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at 165.72 million (Q2 2026), 168.33 million (Q1 2026) and 169.22 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 316.25 Bn | 287.95 Bn | 7.76 Bn | 462.50 Mn |
| 2 | Amphenol | 181.47 Bn | 176.05 Bn | 3.55 Bn | 2.58 Bn |
| 3 | Deere | 172.60 Bn | 140.69 Bn | 4.66 Bn | 270.70 Mn |
| 4 | Eaton | 143.01 Bn | 140.20 Bn | 2.86 Bn | 389.50 Mn |
| 5 | Parker-Hannifin | 111.22 Bn | 109.35 Bn | 2.25 Bn | 128.10 Mn |
| 6 | 3M | 90.15 Bn | 71.59 Bn | 2.78 Bn | 522.60 Mn |
| 7 | Emerson Electric | 89.90 Bn | 82.64 Bn | 2.66 Bn | 561.10 Mn |
| 8 | Illinois Tool Works | 78.95 Bn | 75.51 Bn | 1.90 Bn | 287.00 Mn |
| 9 | Vertiv Holdings | 74.37 Bn | 65.00 Bn | 1.23 Bn | 392.75 Mn |
| 10 | Graco | 10.92 Bn | 8.93 Bn | 296.22 Mn | 163.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 25, 2026 | 163.02 Mn |
| Jun 26, 2026 | 165.72 Mn |
| Mar 27, 2026 | 168.33 Mn |
| Dec 26, 2025 | 169.22 Mn |
| Sep 26, 2025 | 168.62 Mn |
| Jun 27, 2025 | 168.56 Mn |
| Mar 28, 2025 | 171.58 Mn |
| Dec 27, 2024 | 172.41 Mn |
| Sep 27, 2024 | 172.11 Mn |
| Jun 28, 2024 | 172.49 Mn |
| Mar 29, 2024 | 172.45 Mn |
| Dec 29, 2023 | 172.20 Mn |
| Sep 29, 2023 | 172.78 Mn |
| Jun 30, 2023 | 172.55 Mn |
| Mar 31, 2023 | 171.68 Mn |
| Dec 30, 2022 | 172.89 Mn |
| Sep 30, 2022 | 172.79 Mn |
| Jul 1, 2022 | 172.70 Mn |
| Apr 1, 2022 | 174.68 Mn |
| Dec 31, 2021 | 174.53 Mn |
Graco Shares Outstanding (Diluted) 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-diluted&ticker=GGG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "GGG", "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-diluted&ticker=GGG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();