Hyster-Yale (HY) Total Liabilities (2011 - 2026)
Hyster-Yale (HY) reported Total Liabilities of $1.56 billion for Q3 2026, up 2.5% from $1.52 billion a year earlier and up 1.6% from the prior quarter.
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Analysis
Hyster-Yale (HY) Total Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Hyster-Yale posted Total Liabilities of $1.54 billion, down 0.4% from FY2024.
- Total Liabilities has declined for three consecutive years, though with a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- By year, Total Liabilities came in at $1.55 billion in FY2024 (-8.1%), $1.69 billion in FY2023 (-7.1%), $1.82 billion in FY2022 (+14.4%) and $1.59 billion in FY2021 (+31.3%).
- The Q3 2026 figure ranks as the highest quarterly Total Liabilities since Q3 2024.
- Year over year, Total Liabilities gained in two of the last eight quarters, with an average decline of 3.8%.
- The high point for year-over-year Total Liabilities in five years was Q2 2022 (growth of 35.6%); the low point was Q1 2025 (a decline of 9.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $1.53 billion (Q2 2026), $1.52 billion (Q1 2026) and $1.54 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.62 Bn | 245.93 Bn | 7.35 Bn | 85.36 Bn |
| 2 | Amphenol | 193.27 Bn | 188.11 Bn | 4.02 Bn | 29.76 Bn |
| 3 | Deere | 181.55 Bn | 190.32 Bn | 4.66 Bn | 79.61 Bn |
| 4 | Eaton | 137.15 Bn | 134.13 Bn | 3.11 Bn | 36.43 Bn |
| 5 | Parker-Hannifin | 120.49 Bn | 118.48 Bn | 2.26 Bn | 25.86 Bn |
| 6 | 3M | 94.89 Bn | 77.30 Bn | 2.78 Bn | 35.36 Bn |
| 7 | Emerson Electric | 92.74 Bn | 85.23 Bn | 2.74 Bn | 21.06 Bn |
| 8 | Illinois Tool Works | 81.69 Bn | 78.37 Bn | 1.91 Bn | 13.36 Bn |
| 9 | Vertiv Holdings | 77.79 Bn | 66.64 Bn | 1.64 Bn | 12.67 Bn |
| 10 | Hyster-Yale | 486.09 Mn | 166.59 Mn | 124.10 Mn | 1.56 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.56 Bn |
| Jun 30, 2026 | 1.53 Bn |
| Mar 31, 2026 | 1.52 Bn |
| Dec 31, 2025 | 1.54 Bn |
| Sep 30, 2025 | 1.52 Bn |
| Jun 30, 2025 | 1.53 Bn |
| Mar 31, 2025 | 1.54 Bn |
| Dec 31, 2024 | 1.55 Bn |
| Sep 30, 2024 | 1.64 Bn |
| Jun 30, 2024 | 1.65 Bn |
| Mar 31, 2024 | 1.70 Bn |
| Dec 31, 2023 | 1.69 Bn |
| Sep 30, 2023 | 1.75 Bn |
| Jun 30, 2023 | 1.82 Bn |
| Mar 31, 2023 | 1.84 Bn |
| Dec 31, 2022 | 1.82 Bn |
| Sep 30, 2022 | 1.81 Bn |
| Jun 30, 2022 | 1.85 Bn |
| Mar 31, 2022 | 1.71 Bn |
| Dec 31, 2021 | 1.59 Bn |
API Access
Hyster-Yale Total 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-liabilities&ticker=HY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-liabilities&ticker=HY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();