Hyster-Yale (HY) Cost of Revenue (2011 - 2026)
Hyster-Yale's Cost of Revenue came in at $685.3 million for Q2 2026, down 13.1% from $788.4 million a year earlier but up 2.2% from the prior quarter.
Hyster-Yale (HY) Cost of Revenue (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Hyster-Yale reported Cost of Revenue of $2.97 billion, down 7.3% year-over-year; for FY2025, it came in at $3.14 billion, down 8.1% from FY2024.
- Cost of Revenue carries a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- Going back by year, Cost of Revenue was $3.41 billion in FY2024 (+2.4%), $3.33 billion in FY2023 (+7.0%), $3.11 billion in FY2022 (+14.8%) and $2.71 billion in FY2021 (+15.6%).
- The five-year range for quarterly Cost of Revenue is $670.4 million (Q1 2026) to $908.8 million (Q2 2024).
- Year-over-year, Cost of Revenue has declined for three consecutive quarters, with an average decline of 5.6% over the last eight quarters.
- The fastest year-over-year change in Cost of Revenue over five years came in Q4 2021 (growth of 28.1%), and the weakest in Q2 2025 (a decline of 13.2%).
- Business Quant data shows HY's Cost of Revenue at $670.4 million (Q1 2026), $792.2 million (Q4 2025) and $823.2 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 12.78 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 5.21 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 5.68 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 3.51 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 2.04 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 2.22 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 3.82 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn | 2.40 Bn |
| 10 | Hyster-Yale | 558.98 Mn | 575.08 Mn | 127.60 Mn | 685.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 685.30 Mn |
| Mar 31, 2026 | 670.40 Mn |
| Dec 31, 2025 | 792.20 Mn |
| Sep 30, 2025 | 823.20 Mn |
| Jun 30, 2025 | 788.40 Mn |
| Mar 31, 2025 | 732.70 Mn |
| Dec 31, 2024 | 859.90 Mn |
| Sep 30, 2024 | 823.20 Mn |
| Jun 30, 2024 | 908.80 Mn |
| Mar 31, 2024 | 820.80 Mn |
| Dec 31, 2023 | 817.50 Mn |
| Sep 30, 2023 | 797.60 Mn |
| Jun 30, 2023 | 892.70 Mn |
| Mar 31, 2023 | 824.90 Mn |
| Dec 31, 2022 | 838.50 Mn |
| Sep 30, 2022 | 753.20 Mn |
| Jun 30, 2022 | 796.30 Mn |
| Mar 31, 2022 | 726.40 Mn |
| Dec 31, 2021 | 766.20 Mn |
| Sep 30, 2021 | 683.10 Mn |
Hyster-Yale Cost of 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=cost-of-revenue&ticker=HY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=HY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();