Gates Industrial (GTES) Total Current Liabilities (2017 - 2026)
Gates Industrial (GTES) recorded Total Current Liabilities of $835.1 million in Q2 2026, up 14.5% from $729.3 million a year earlier and up 23.1% from the prior quarter.
Gates Industrial (GTES) Total Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Gates Industrial reported Total Current Liabilities of $735.4 million, up 1.9% from FY2024.
- Annual Total Current Liabilities has a four-year compound annual growth rate of -3.7% (FY2021 to FY2025).
- Across earlier years, Total Current Liabilities came in at $721.5 million in FY2024 (-7.4%), $779.3 million in FY2023 (+3.6%), $752.3 million in FY2022 (-12.1%) and $855.9 million in FY2021.
- The Q2 2026 figure is the highest quarterly Total Current Liabilities since Q4 2021.
- On a year-over-year basis, Total Current Liabilities rose in three of the last eight quarters, with an average decline of 1.8%.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 14.5% in Q2 2026, against a decline of 12.1% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $678.5 million (Q1 2026), $735.4 million (Q4 2025) and $705.4 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 376.87 Bn | 348.57 Bn | 7.76 Bn | 39.79 Bn |
| 2 | Amphenol | 208.65 Bn | 203.35 Bn | 3.55 Bn | 9.44 Bn |
| 3 | Deere | 185.97 Bn | 194.73 Bn | 4.66 Bn | - |
| 4 | Eaton | 167.50 Bn | 164.73 Bn | 2.86 Bn | 11.91 Bn |
| 5 | Parker-Hannifin | 122.25 Bn | 120.39 Bn | 2.25 Bn | 6.10 Bn |
| 6 | Vertiv Holdings | 93.95 Bn | 84.57 Bn | 1.23 Bn | 7.24 Bn |
| 7 | Emerson Electric | 88.90 Bn | 81.65 Bn | 2.66 Bn | 10.77 Bn |
| 8 | 3M | 87.39 Bn | 68.85 Bn | 2.68 Bn | 11.38 Bn |
| 9 | Illinois Tool Works | 78.00 Bn | 74.56 Bn | 1.90 Bn | 5.95 Bn |
| 10 | Gates Industrial | 6.75 Bn | 4.01 Bn | 386.10 Mn | 835.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 835.10 Mn |
| Mar 28, 2026 | 678.50 Mn |
| Dec 31, 2025 | 735.40 Mn |
| Sep 27, 2025 | 705.40 Mn |
| Jun 28, 2025 | 729.30 Mn |
| Mar 29, 2025 | 710.40 Mn |
| Dec 28, 2024 | 721.50 Mn |
| Sep 28, 2024 | 795.60 Mn |
| Jun 29, 2024 | 763.40 Mn |
| Mar 30, 2024 | 747.90 Mn |
| Dec 30, 2023 | 779.30 Mn |
| Sep 30, 2023 | 780.40 Mn |
| Jul 1, 2023 | 798.20 Mn |
| Apr 1, 2023 | 738.20 Mn |
| Dec 31, 2022 | 752.30 Mn |
| Oct 1, 2022 | 746.70 Mn |
| Jul 2, 2022 | 771.50 Mn |
| Apr 2, 2022 | 788.50 Mn |
| Jan 1, 2022 | 855.90 Mn |
| Oct 2, 2021 | 842.40 Mn |
Gates Industrial 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=GTES&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "ticker": "GTES", "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=GTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();