Hyster-Yale (HY) Revenue (2011 - 2026)
Hyster-Yale (HY) recorded Revenue of $827.4 million in Q3 2026, down 15.5% from $979.1 million a year earlier but up 1.8% from the prior quarter.
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Analysis
Hyster-Yale (HY) Revenue (2011 - 2026) Analysis & Trends
On a TTM basis, Hyster-Yale's Revenue came in at $3.36 billion as of Sep 30, 2026, down 14.2% year-over-year; for FY2025, it came in at $3.77 billion, down 12.5% from FY2024.
- Annual Revenue has a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- Across earlier years, Revenue came in at $4.31 billion in FY2024 (+4.6%), $4.12 billion in FY2023 (+16.1%), $3.55 billion in FY2022 (+15.4%) and $3.08 billion in FY2021 (+9.4%).
- Quarterly Revenue has ranged from $795.2 million in Q1 2026 to $1.17 billion in Q2 2024 over the past five years.
- On a year-over-year basis, Revenue has declined for seven consecutive quarters, with an average decline of 11.0% over the last eight quarters.
- Peak year-over-year performance for Revenue in the last five years was growth of 21.8% in Q2 2023, against a decline of 18.1% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $812.9 million (Q2 2026), $795.2 million (Q1 2026) and $923.2 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.62 Bn | 245.93 Bn | 7.35 Bn | 20.68 Bn |
| 2 | Amphenol | 193.27 Bn | 188.11 Bn | 4.02 Bn | 10.23 Bn |
| 3 | Deere | 181.55 Bn | 190.32 Bn | 4.66 Bn | 12.61 Bn |
| 4 | Eaton | 137.15 Bn | 134.13 Bn | 3.11 Bn | 8.95 Bn |
| 5 | Parker-Hannifin | 120.49 Bn | 118.48 Bn | 2.26 Bn | 5.99 Bn |
| 6 | 3M | 94.89 Bn | 77.30 Bn | 2.78 Bn | 6.58 Bn |
| 7 | Emerson Electric | 92.74 Bn | 85.23 Bn | 2.74 Bn | 5.20 Bn |
| 8 | Illinois Tool Works | 81.69 Bn | 78.37 Bn | 1.91 Bn | 4.24 Bn |
| 9 | Vertiv Holdings | 77.79 Bn | 66.64 Bn | 1.64 Bn | 4.31 Bn |
| 10 | Hyster-Yale | 486.09 Mn | 166.59 Mn | 124.10 Mn | 827.40 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 827.40 Mn |
| Jun 30, 2026 | 812.90 Mn |
| Mar 31, 2026 | 795.20 Mn |
| Dec 31, 2025 | 923.20 Mn |
| Sep 30, 2025 | 979.10 Mn |
| Jun 30, 2025 | 956.60 Mn |
| Mar 31, 2025 | 910.40 Mn |
| Dec 31, 2024 | 1.07 Bn |
| Sep 30, 2024 | 1.02 Bn |
| Jun 30, 2024 | 1.17 Bn |
| Mar 31, 2024 | 1.06 Bn |
| Dec 31, 2023 | 1.03 Bn |
| Sep 30, 2023 | 1.00 Bn |
| Jun 30, 2023 | 1.09 Bn |
| Mar 31, 2023 | 999.30 Mn |
| Dec 31, 2022 | 985.20 Mn |
| Sep 30, 2022 | 840.10 Mn |
| Jun 30, 2022 | 895.40 Mn |
| Mar 31, 2022 | 827.60 Mn |
| Dec 31, 2021 | 829.70 Mn |
API Access
Hyster-Yale Revenue 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=revenue&ticker=HY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=HY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();