Hyster-Yale (HY) Shares Outstanding (Entity) (2011 - 2026)
Hyster-Yale (HY) recorded Shares Outstanding (Entity) of 17.92 million in Q2 2026, up 1.2% from 17.71 million a year earlier and up 0.1% from the prior quarter.
Hyster-Yale (HY) Shares Outstanding (Entity) (2011 - 2026) Analysis & Trends
For FY2025, Hyster-Yale reported Shares Outstanding (Entity) of 17.73 million, up 1.8% from FY2024.
- Annual Shares Outstanding (Entity) has a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- Across earlier years, Shares Outstanding (Entity) came in at 17.42 million in FY2024 (-0.4%), 17.49 million in FY2023 (+3.5%), 16.9 million in FY2022 (+0.5%) and 16.82 million in FY2021 (+0.3%).
- The Q2 2026 figure is the highest quarterly Shares Outstanding (Entity) in data going back to Q3 2011.
- On a year-over-year basis, Shares Outstanding (Entity) has increased for six consecutive quarters, with growth averaging 1.2% over the last eight quarters.
- Peak year-over-year performance for Shares Outstanding (Entity) in the last five years was growth of 3.5% in Q4 2023, against a decline of 0.4% in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 17.9 million (Q1 2026), 17.73 million (Q4 2025) and 17.72 million (Q3 2025).
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 | Hyster-Yale | 563.63 Mn | 579.73 Mn | 127.60 Mn | 17.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 17.92 Mn |
| Mar 31, 2026 | 17.90 Mn |
| Dec 31, 2025 | 17.73 Mn |
| Sep 30, 2025 | 17.72 Mn |
| Jun 30, 2025 | 17.71 Mn |
| Mar 31, 2025 | 17.70 Mn |
| Dec 31, 2024 | 17.42 Mn |
| Sep 30, 2024 | 17.50 Mn |
| Jun 30, 2024 | 17.50 Mn |
| Mar 31, 2024 | 17.49 Mn |
| Dec 31, 2023 | 17.49 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 |
| Sep 30, 2021 | 16.82 Mn |
Hyster-Yale 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=HY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=HY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();