Hyster-Yale (HY) Total Current Liabilities (2011 - 2026)
Hyster-Yale's Total Current Liabilities came in at $1.04 billion for Q3 2026, down 0.1% from $1.04 billion a year earlier but up 3.6% 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 13 consecutive quarters, with an average decline of 7.9% 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 $999.6 million (Q2 2026), $992.9 million (Q1 2026) and $1 billion (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 274.62 Bn | 245.93 Bn | 7.35 Bn | 40.67 Bn |
| 2 | Amphenol | 193.27 Bn | 188.11 Bn | 4.02 Bn | 10.04 Bn |
| 3 | Deere | 181.55 Bn | 190.32 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.15 Bn | 134.13 Bn | 3.11 Bn | 12.99 Bn |
| 5 | Parker-Hannifin | 120.49 Bn | 118.48 Bn | 2.26 Bn | 9.22 Bn |
| 6 | 3M | 94.89 Bn | 77.30 Bn | 2.78 Bn | 11.87 Bn |
| 7 | Emerson Electric | 92.74 Bn | 85.23 Bn | 2.74 Bn | 10.12 Bn |
| 8 | Illinois Tool Works | 81.69 Bn | 78.37 Bn | 1.91 Bn | 5.10 Bn |
| 9 | Vertiv Holdings | 77.79 Bn | 66.64 Bn | 1.64 Bn | 8.71 Bn |
| 10 | Hyster-Yale | 486.09 Mn | 166.59 Mn | 124.10 Mn | 1.04 Bn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.04 Bn |
| 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 |
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();