Valmont Industries (VMI) Shares Outstanding (2009 - 2026)
Valmont Industries (VMI) reported Weighted Average Shares Outstanding of 19.37 million for Q3 2026, down 1.9% from 19.74 million a year earlier and unchanged from the prior quarter.
Valmont Industries (VMI) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Valmont Industries posted Weighted Average Shares Outstanding of 19.8 million, down 1.6% from FY2024.
- Weighted Average Shares Outstanding has declined for three consecutive years, with a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 20.12 million in FY2024 (-4.0%), 20.96 million in FY2023 (-1.7%), 21.31 million in FY2022 (+0.6%) and 21.19 million in FY2021 (-0.6%).
- Five-year quarterly Weighted Average Shares Outstanding spans a low of 19.37 million in Q2 2026 and a high of 21.33 million in Q3 2022.
- Year over year, Weighted Average Shares Outstanding has now declined in each of the last 14 quarters, with an average decline of 2.1% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding in five years was Q3 2022 (growth of 0.7%); the low point was Q1 2024 (a decline of 5.1%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 19.37 million (Q2 2026), 19.48 million (Q1 2026) and 19.8 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 291.31 Bn | 291.31 Bn | - | 460.40 Mn |
| 2 | Amphenol | 191.07 Bn | 184.59 Bn | 4.02 Bn | 2.46 Bn |
| 3 | Deere | 181.06 Bn | 149.15 Bn | 4.66 Bn | 269.80 Mn |
| 4 | Eaton | 145.02 Bn | 142.20 Bn | 2.86 Bn | 388.50 Mn |
| 5 | Parker-Hannifin | 115.32 Bn | 113.44 Bn | 2.25 Bn | 126.30 Mn |
| 6 | Emerson Electric | 92.98 Bn | 85.72 Bn | 2.66 Bn | 558.80 Mn |
| 7 | 3M | 90.64 Bn | 72.08 Bn | 2.78 Bn | 518.80 Mn |
| 8 | Vertiv Holdings | 89.94 Bn | 78.79 Bn | 1.64 Bn | 385.00 Mn |
| 9 | Illinois Tool Works | 79.67 Bn | 76.35 Bn | 1.91 Bn | 284.60 Mn |
| 10 | Valmont Industries | 8.18 Bn | 7.57 Bn | 331.38 Mn | 19.23 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 19.37 Mn |
| Jun 27, 2026 | 19.37 Mn |
| Mar 28, 2026 | 19.48 Mn |
| Dec 27, 2025 | 19.80 Mn |
| Sep 27, 2025 | 19.74 Mn |
| Jun 28, 2025 | 19.81 Mn |
| Mar 29, 2025 | 20.05 Mn |
| Dec 28, 2024 | 20.12 Mn |
| Sep 28, 2024 | 20.09 Mn |
| Jun 29, 2024 | 20.18 Mn |
| Mar 30, 2024 | 20.19 Mn |
| Dec 30, 2023 | 20.96 Mn |
| Sep 30, 2023 | 20.95 Mn |
| Jul 1, 2023 | 21.03 Mn |
| Apr 1, 2023 | 21.27 Mn |
| Dec 31, 2022 | 21.31 Mn |
| Sep 24, 2022 | 21.33 Mn |
| Jun 25, 2022 | 21.31 Mn |
| Mar 26, 2022 | 21.28 Mn |
| Dec 25, 2021 | 21.19 Mn |
Valmont Industries Shares Outstanding 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&ticker=VMI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "VMI", "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&ticker=VMI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();