Hyster-Yale (HY) Operating Expenses (2011 - 2026)
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Analysis
Hyster-Yale (HY) Operating Expenses (2011 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.62 Bn | 245.93 Bn | 7.35 Bn | 16.47 Bn |
| 2 | Amphenol | 193.27 Bn | 188.11 Bn | 4.02 Bn | 7.11 Bn |
| 3 | Deere | 181.55 Bn | 190.32 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 137.15 Bn | 134.13 Bn | 3.11 Bn | 1.52 Bn |
| 5 | Parker-Hannifin | 120.49 Bn | 118.48 Bn | 2.26 Bn | 1.07 Bn |
| 6 | 3M | 94.89 Bn | 77.30 Bn | 2.78 Bn | 5.03 Bn |
| 7 | Emerson Electric | 92.74 Bn | 85.23 Bn | 2.74 Bn | 1.39 Bn |
| 8 | Illinois Tool Works | 81.69 Bn | 78.37 Bn | 1.91 Bn | 717.00 Mn |
| 9 | Vertiv Holdings | 77.79 Bn | 66.64 Bn | 1.64 Bn | 557.10 Mn |
| 10 | Hyster-Yale | 486.09 Mn | 166.59 Mn | 124.10 Mn | 133.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 133.20 Mn |
| Jun 30, 2026 | 146.00 Mn |
| Mar 31, 2026 | 152.80 Mn |
| Dec 31, 2025 | 168.20 Mn |
| Sep 30, 2025 | 153.60 Mn |
| Jun 30, 2025 | 176.70 Mn |
| Mar 31, 2025 | 156.40 Mn |
| Dec 31, 2024 | 175.30 Mn |
| Sep 30, 2024 | 159.80 Mn |
| Jun 30, 2024 | 163.70 Mn |
| Mar 31, 2024 | 151.90 Mn |
| Dec 31, 2023 | 161.00 Mn |
| Sep 30, 2023 | 145.00 Mn |
| Jun 30, 2023 | 139.10 Mn |
| Mar 31, 2023 | 131.80 Mn |
| Dec 31, 2022 | 126.90 Mn |
| Sep 30, 2022 | 111.80 Mn |
| Jun 30, 2022 | 114.80 Mn |
| Mar 31, 2022 | 119.50 Mn |
| Dec 31, 2021 | 104.90 Mn |
API Access
Hyster-Yale Operating Expenses 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=operating-expenses&ticker=HY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=HY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();