Hyster-Yale (HY) Shares Outstanding (2011 - 2026)
Hyster-Yale (HY) posted Weighted Average Shares Outstanding of 17.93 million for Q3 2026, up 1.2% from 17.72 million a year earlier and up 0.1% from the prior quarter.
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Analysis
Hyster-Yale (HY) Shares Outstanding (2011 - 2026) Analysis & Trends
For FY2025, Hyster-Yale's Weighted Average Shares Outstanding came in at 17.67 million, up 1.3% from FY2024.
- Annual Weighted Average Shares Outstanding has increased for ten consecutive years, with a five-year compound annual growth rate of 1.0% (FY2020 to FY2025).
- In prior years, Hyster-Yale's Weighted Average Shares Outstanding was 17.44 million in FY2024 (+1.8%), 17.14 million in FY2023 (+1.4%), 16.9 million in FY2022 (+0.5%) and 16.82 million in FY2021 (+0.3%).
- The Q3 2026 figure stands as the highest quarterly Weighted Average Shares Outstanding in data going back to Q3 2011.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased in each of the last 43 quarters, with growth averaging 1.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Weighted Average Shares Outstanding ran from 0.2% in Q1 2022 to 1.9% in Q2 2024.
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior quarters was 17.91 million (Q2 2026), 17.82 million (Q1 2026) and 17.67 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.62 Bn | 245.93 Bn | 7.35 Bn | 459.10 Mn |
| 2 | Amphenol | 193.27 Bn | 188.11 Bn | 4.02 Bn | 2.47 Bn |
| 3 | Deere | 181.55 Bn | 190.32 Bn | 4.66 Bn | 269.80 Mn |
| 4 | Eaton | 137.15 Bn | 134.13 Bn | 3.11 Bn | 388.60 Mn |
| 5 | Parker-Hannifin | 120.49 Bn | 118.48 Bn | 2.26 Bn | 126.10 Mn |
| 6 | 3M | 94.89 Bn | 77.30 Bn | 2.78 Bn | 518.80 Mn |
| 7 | Emerson Electric | 92.74 Bn | 85.23 Bn | 2.74 Bn | 559.60 Mn |
| 8 | Illinois Tool Works | 81.69 Bn | 78.37 Bn | 1.91 Bn | 284.60 Mn |
| 9 | Vertiv Holdings | 77.79 Bn | 66.64 Bn | 1.64 Bn | 385.00 Mn |
| 10 | Hyster-Yale | 486.09 Mn | 166.59 Mn | 124.10 Mn | 17.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 17.93 Mn |
| Jun 30, 2026 | 17.91 Mn |
| Mar 31, 2026 | 17.82 Mn |
| Dec 31, 2025 | 17.67 Mn |
| Sep 30, 2025 | 17.72 Mn |
| Jun 30, 2025 | 17.71 Mn |
| Mar 31, 2025 | 17.56 Mn |
| Dec 31, 2024 | 17.44 Mn |
| Sep 30, 2024 | 17.50 Mn |
| Jun 30, 2024 | 17.49 Mn |
| Mar 31, 2024 | 17.34 Mn |
| Dec 31, 2023 | 17.14 Mn |
| Sep 30, 2023 | 17.18 Mn |
| Jun 30, 2023 | 17.16 Mn |
| Mar 31, 2023 | 17.05 Mn |
| Dec 31, 2022 | 16.90 Mn |
| Sep 30, 2022 | 16.92 Mn |
| Jun 30, 2022 | 16.91 Mn |
| Mar 31, 2022 | 16.85 Mn |
| Dec 31, 2021 | 16.82 Mn |
API Access
Hyster-Yale 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=HY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "HY", "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=HY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();