Hyster-Yale (HY) Operating Expenses (2011 - 2026)
Hyster-Yale's Operating Expenses came in at $146 million for Q2 2026, down 17.4% from $176.7 million a year earlier and down 4.5% from the prior quarter.
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Analysis
Hyster-Yale (HY) Operating Expenses (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hyster-Yale reported Operating Expenses of $620.6 million, down 7.1% year-over-year; for FY2025, it was $654.9 million, up 0.6% from FY2024.
- Operating Expenses has increased in each of the last three years, with a five-year compound annual growth rate of 9.5% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $650.7 million in FY2024 (+12.8%), $576.9 million in FY2023 (+22.0%), $473 million in FY2022 (-8.3%) and $515.7 million in FY2021 (+24.1%).
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q3 2023.
- Year-over-year, Operating Expenses has declined for four consecutive quarters, with growth averaging 0.3% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2023 (growth of 29.7%), and the weakest in Q2 2026 (a decline of 17.4%).
- Business Quant data shows HY's Operating Expenses at $152.8 million (Q1 2026), $168.2 million (Q4 2025) and $153.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 16.25 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 963.40 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 10.73 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.46 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 490.50 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 5.52 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | - |
| 10 | Hyster-Yale | 563.63 Mn | 579.73 Mn | 127.60 Mn | 146.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 119.40 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();