Hyster-Yale (HY) EPS (Diluted) (2011 - 2026)
Hyster-Yale's EPS (Diluted) came in at -$1.76 for Q2 2026, compared with -$0.79 a year earlier.
Powered by 
Analysis
Hyster-Yale (HY) EPS (Diluted) (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hyster-Yale reported EPS (Diluted) of -$6.53; for FY2025, it was -$3.40.
- Going back by year, EPS (Diluted) was $8.04 in FY2024 (+11.0%), $7.24 in FY2023, -$4.38 in FY2022 and -$10.29 in FY2021.
- The five-year range for quarterly EPS (Diluted) is -$6.14 (Q4 2021) to $3.58 (Q2 2024).
- Business Quant data shows HY's EPS (Diluted) at -$1.71 (Q1 2026), -$2.97 (Q4 2025) and -$0.13 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 379.87 Bn | 351.57 Bn | 7.76 Bn | 7.77 |
| 2 | Amphenol | 211.41 Bn | 206.11 Bn | 3.55 Bn | 0.69 |
| 3 | Deere | 179.93 Bn | 188.69 Bn | 4.66 Bn | 5.09 |
| 4 | Eaton | 169.93 Bn | 167.16 Bn | 2.86 Bn | 2.11 |
| 5 | Parker-Hannifin | 121.78 Bn | 119.91 Bn | 2.25 Bn | 8.52 |
| 6 | Vertiv Holdings | 94.75 Bn | 85.37 Bn | 1.23 Bn | 1.27 |
| 7 | Emerson Electric | 88.42 Bn | 81.17 Bn | 2.66 Bn | 1.28 |
| 8 | 3M | 84.08 Bn | 65.54 Bn | 2.68 Bn | 1.79 |
| 9 | Illinois Tool Works | 74.29 Bn | 70.85 Bn | 1.90 Bn | 2.84 |
| 10 | Hyster-Yale | 544.82 Mn | 560.92 Mn | 127.60 Mn | -1.76 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -1.76 |
| Mar 31, 2026 | -1.71 |
| Dec 31, 2025 | -2.97 |
| Sep 30, 2025 | -0.13 |
| Jun 30, 2025 | -0.79 |
| Mar 31, 2025 | 0.48 |
| Dec 31, 2024 | 0.58 |
| Sep 30, 2024 | 0.97 |
| Jun 30, 2024 | 3.58 |
| Mar 31, 2024 | 2.93 |
| Dec 31, 2023 | 1.45 |
| Sep 30, 2023 | 2.06 |
| Jun 30, 2023 | 2.21 |
| Mar 31, 2023 | 1.55 |
| Dec 31, 2022 | 0.45 |
| Sep 30, 2022 | -2.20 |
| Jun 30, 2022 | -1.15 |
| Mar 31, 2022 | -1.48 |
| Dec 31, 2021 | -6.14 |
| Sep 30, 2021 | -4.59 |
API Access
Hyster-Yale EPS (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=eps-diluted&ticker=HY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=HY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();