Hyster-Yale (HY) Accumulated Expenses (2011 - 2026)
Hyster-Yale (HY) recorded Accumulated Expenses of $70.3 million in Q3 2026, down 19.5% from $87.3 million a year earlier but up 1.7% from the prior quarter.
Hyster-Yale (HY) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Hyster-Yale reported Accumulated Expenses of $100.7 million, down 4.5% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 0.0% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $105.5 million in FY2024 (+20.7%), $87.4 million in FY2023 (+35.7%), $64.4 million in FY2022 (+12.8%) and $57.1 million in FY2021 (-43.3%).
- Quarterly Accumulated Expenses has ranged from $43.3 million in Q1 2023 to $105.5 million in Q4 2024 over the past five years.
- On a year-over-year basis, Accumulated Expenses rose in five of the last eight quarters, with growth averaging 4.2%.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 38.7% in Q3 2023, against a decline of 43.3% in Q4 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $69.1 million (Q2 2026), $65 million (Q1 2026) and $100.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 274.62 Bn | 245.93 Bn | 7.35 Bn |
| 2 | Amphenol | 193.27 Bn | 188.11 Bn | 4.02 Bn |
| 3 | Deere | 181.55 Bn | 190.32 Bn | 4.66 Bn |
| 4 | Eaton | 137.15 Bn | 134.13 Bn | 3.11 Bn |
| 5 | Parker-Hannifin | 120.49 Bn | 118.48 Bn | 2.26 Bn |
| 6 | 3M | 94.89 Bn | 77.30 Bn | 2.78 Bn |
| 7 | Emerson Electric | 92.74 Bn | 85.23 Bn | 2.74 Bn |
| 8 | Illinois Tool Works | 81.69 Bn | 78.37 Bn | 1.91 Bn |
| 9 | Vertiv Holdings | 77.79 Bn | 66.64 Bn | 1.64 Bn |
| 10 | Hyster-Yale | 486.09 Mn | 166.59 Mn | 124.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 70.30 Mn |
| Jun 30, 2026 | 69.10 Mn |
| Mar 31, 2026 | 65.00 Mn |
| Dec 31, 2025 | 100.70 Mn |
| Sep 30, 2025 | 87.30 Mn |
| Jun 30, 2025 | 77.70 Mn |
| Mar 31, 2025 | 64.90 Mn |
| Dec 31, 2024 | 105.50 Mn |
| Sep 30, 2024 | 82.50 Mn |
| Jun 30, 2024 | 67.00 Mn |
| Mar 31, 2024 | 51.60 Mn |
| Dec 31, 2023 | 87.40 Mn |
| Sep 30, 2023 | 70.30 Mn |
| Jun 30, 2023 | 58.90 Mn |
| Mar 31, 2023 | 43.30 Mn |
| Dec 31, 2022 | 64.40 Mn |
| Sep 30, 2022 | 50.70 Mn |
| Jun 30, 2022 | 50.50 Mn |
| Mar 31, 2022 | 55.20 Mn |
| Dec 31, 2021 | 57.10 Mn |
Hyster-Yale Accumulated 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=accumulated-expenses&ticker=HY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=HY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();