Hyster-Yale (HY) Total Non-Current Liabilities (2011 - 2026)
Hyster-Yale (HY) reported Total Non-Current Liabilities of $1.33 billion for Q2 2026, down 1.7% from $1.35 billion a year earlier but up 1.0% from the prior quarter.
Hyster-Yale (HY) Total Non-Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Hyster-Yale posted Total Non-Current Liabilities of $1.6 billion, up 2.0% from FY2024.
- Total Non-Current Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $1.57 billion in FY2024 (+9.5%), $1.43 billion in FY2023 (+9.4%), $1.31 billion in FY2022 (+3.2%) and $1.27 billion in FY2021 (-10.4%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $1.27 billion in Q4 2021 and a high of $1.71 billion in Q1 2023.
- Year over year, Total Non-Current Liabilities gained in two of the last eight quarters, with an average decline of 4.0%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2022 (growth of 42.5%); the low point was Q2 2024 (a decline of 12.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $1.31 billion (Q1 2026), $1.6 billion (Q4 2025) and $1.35 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 75.57 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 28.16 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 23.97 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 14.72 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 10.73 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 18.30 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 23.79 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 7.65 Bn |
| 10 | Hyster-Yale | 563.63 Mn | 579.73 Mn | 127.60 Mn | 1.33 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.33 Bn |
| Mar 31, 2026 | 1.31 Bn |
| Dec 31, 2025 | 1.60 Bn |
| Sep 30, 2025 | 1.35 Bn |
| Jun 30, 2025 | 1.35 Bn |
| Mar 31, 2025 | 1.36 Bn |
| Dec 31, 2024 | 1.57 Bn |
| Sep 30, 2024 | 1.47 Bn |
| Jun 30, 2024 | 1.49 Bn |
| Mar 31, 2024 | 1.54 Bn |
| Dec 31, 2023 | 1.43 Bn |
| Sep 30, 2023 | 1.62 Bn |
| Jun 30, 2023 | 1.69 Bn |
| Mar 31, 2023 | 1.71 Bn |
| Dec 31, 2022 | 1.31 Bn |
| Sep 30, 2022 | 1.64 Bn |
| Jun 30, 2022 | 1.68 Bn |
| Mar 31, 2022 | 1.55 Bn |
| Dec 31, 2021 | 1.27 Bn |
| Sep 30, 2021 | 1.33 Bn |
Hyster-Yale Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=HY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=HY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();