Hyster-Yale (HY) Non-Current Assets (2011 - 2026)
Hyster-Yale (HY) reported Non-Current Assets of $651.9 million for Q3 2026, up 5.7% from $616.7 million a year earlier and up 0.1% from the prior quarter.
Hyster-Yale (HY) Non-Current Assets (2011 - 2026) Analysis & Trends
At the end of FY2025, Hyster-Yale posted Non-Current Assets of $673.6 million, up 13.0% from FY2024.
- Non-Current Assets has increased for three consecutive years, though with a five-year compound annual growth rate of -1.6% (FY2020 to FY2025).
- By year, Non-Current Assets came in at $595.9 million in FY2024 (+1.2%), $589 million in FY2023 (+3.8%), $567.5 million in FY2022 (-8.5%) and $620.1 million in FY2021 (-15.0%).
- Five-year quarterly Non-Current Assets spans a low of $552.2 million in Q3 2023 and a high of $673.6 million in Q4 2025.
- Year over year, Non-Current Assets has now increased in each of the last 12 quarters, with growth averaging 5.2% over the last eight quarters.
- The high point for year-over-year Non-Current Assets in five years was Q4 2025 (growth of 13.0%); the low point was Q2 2022 (a decline of 16.9%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $651.4 million (Q2 2026), $653 million (Q1 2026) and $673.6 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.62 Bn | 245.93 Bn | 7.35 Bn | 49.01 Bn |
| 2 | Amphenol | 193.27 Bn | 188.11 Bn | 4.02 Bn | 27.54 Bn |
| 3 | Deere | 181.55 Bn | 190.32 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.15 Bn | 134.13 Bn | 3.11 Bn | 41.42 Bn |
| 5 | Parker-Hannifin | 120.49 Bn | 118.48 Bn | 2.26 Bn | 33.23 Bn |
| 6 | 3M | 94.89 Bn | 77.30 Bn | 2.78 Bn | 22.81 Bn |
| 7 | Emerson Electric | 92.74 Bn | 85.23 Bn | 2.74 Bn | 32.30 Bn |
| 8 | Illinois Tool Works | 81.69 Bn | 78.37 Bn | 1.91 Bn | 9.90 Bn |
| 9 | Vertiv Holdings | 77.79 Bn | 66.64 Bn | 1.64 Bn | 6.05 Bn |
| 10 | Hyster-Yale | 486.09 Mn | 166.59 Mn | 124.10 Mn | 651.90 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 651.90 Mn |
| Jun 30, 2026 | 651.40 Mn |
| Mar 31, 2026 | 653.00 Mn |
| Dec 31, 2025 | 673.60 Mn |
| Sep 30, 2025 | 616.70 Mn |
| Jun 30, 2025 | 618.40 Mn |
| Mar 31, 2025 | 600.40 Mn |
| Dec 31, 2024 | 595.90 Mn |
| Sep 30, 2024 | 613.10 Mn |
| Jun 30, 2024 | 586.60 Mn |
| Mar 31, 2024 | 592.40 Mn |
| Dec 31, 2023 | 589.00 Mn |
| Sep 30, 2023 | 552.20 Mn |
| Jun 30, 2023 | 557.60 Mn |
| Mar 31, 2023 | 555.70 Mn |
| Dec 31, 2022 | 567.50 Mn |
| Sep 30, 2022 | 557.20 Mn |
| Jun 30, 2022 | 583.00 Mn |
| Mar 31, 2022 | 611.30 Mn |
| Dec 31, 2021 | 620.10 Mn |
Hyster-Yale Non-Current Assets 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=non-current-assets&ticker=HY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=HY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();