Hyster-Yale (HY) Total Current Liabilities (2011 - 2026)
Hyster-Yale's Total Current Liabilities came in at $999.6 million for Q2 2026, down 4.1% from $1.04 billion a year earlier but up 0.7% from the prior quarter.
Hyster-Yale (HY) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Hyster-Yale's Total Current Liabilities was $1 billion, down 5.3% from FY2024.
- Total Current Liabilities has declined in each of the last three years, though with a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- Going back by year, Total Current Liabilities was $1.06 billion in FY2024 (-13.2%), $1.22 billion in FY2023 (-9.3%), $1.34 billion in FY2022 (+21.6%) and $1.1 billion in FY2021 (+46.1%).
- The five-year range for quarterly Total Current Liabilities is $992.9 million (Q1 2026) to $1.39 billion (Q1 2023).
- Year-over-year, Total Current Liabilities has declined for 12 consecutive quarters, with an average decline of 9.3% over the last eight quarters.
- The fastest year-over-year change in Total Current Liabilities over five years came in Q2 2022 (growth of 54.0%), and the weakest in Q2 2024 (a decline of 14.6%).
- Business Quant data shows HY's Total Current Liabilities at $992.9 million (Q1 2026), $1 billion (Q4 2025) and $1.04 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | - |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 6.10 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 7.24 Bn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 10.77 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 11.38 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 5.95 Bn |
| 10 | Hyster-Yale | 563.63 Mn | 579.73 Mn | 127.60 Mn | 999.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 999.60 Mn |
| Mar 31, 2026 | 992.90 Mn |
| Dec 31, 2025 | 1.00 Bn |
| Sep 30, 2025 | 1.04 Bn |
| Jun 30, 2025 | 1.04 Bn |
| Mar 31, 2025 | 1.05 Bn |
| Dec 31, 2024 | 1.06 Bn |
| Sep 30, 2024 | 1.15 Bn |
| Jun 30, 2024 | 1.17 Bn |
| Mar 31, 2024 | 1.22 Bn |
| Dec 31, 2023 | 1.22 Bn |
| Sep 30, 2023 | 1.30 Bn |
| Jun 30, 2023 | 1.37 Bn |
| Mar 31, 2023 | 1.39 Bn |
| Dec 31, 2022 | 1.34 Bn |
| Sep 30, 2022 | 1.31 Bn |
| Jun 30, 2022 | 1.33 Bn |
| Mar 31, 2022 | 1.23 Bn |
| Dec 31, 2021 | 1.10 Bn |
| Sep 30, 2021 | 1.01 Bn |
Hyster-Yale Total 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-current-liabilities&ticker=HY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=HY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();