Gates Industrial (GTES) Total Non-Current Liabilities (2016 - 2026)
Gates Industrial (GTES) reported Total Non-Current Liabilities of $3.23 billion for Q3 2026, up 2.0% from $3.16 billion a year earlier but down 1.1% from the prior quarter.
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Analysis
Gates Industrial (GTES) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Gates Industrial posted Total Non-Current Liabilities of $3.17 billion, down 0.6% from FY2024.
- Total Non-Current Liabilities has declined for four consecutive years, with a four-year compound annual growth rate of -4.3% (FY2021 to FY2025).
- By year, Total Non-Current Liabilities came in at $3.19 billion in FY2024 (-6.5%), $3.41 billion in FY2023 (-1.6%), $3.47 billion in FY2022 (-8.3%) and $3.78 billion in FY2021.
- Five-year quarterly Total Non-Current Liabilities spans a low of $3.12 billion in Q1 2026 and a high of $3.84 billion in Q1 2022.
- Year over year, Total Non-Current Liabilities gained in 1 of the last eight quarters, with an average decline of 3.0%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q3 2026 (growth of 2.0%); the low point was Q2 2024 (a decline of 8.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $3.26 billion (Q2 2026), $3.12 billion (Q1 2026) and $3.17 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 76.44 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 28.76 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | - |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 23.44 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 25.05 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 26.86 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 17.63 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 8.26 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 12.22 Bn |
| 10 | Gates Industrial | 6.30 Bn | 3.43 Bn | 383.30 Mn | 72.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 72.20 Mn |
| Jun 27, 2026 | 56.30 Mn |
| Mar 28, 2026 | 63.20 Mn |
| Dec 31, 2025 | 62.10 Mn |
| Sep 27, 2025 | 60.00 Mn |
| Jun 28, 2025 | 84.70 Mn |
| Mar 29, 2025 | 83.10 Mn |
| Dec 28, 2024 | 82.20 Mn |
| Sep 28, 2024 | 77.40 Mn |
| Jun 29, 2024 | 75.60 Mn |
| Mar 30, 2024 | 83.30 Mn |
| Dec 30, 2023 | 79.40 Mn |
| Sep 30, 2023 | 65.00 Mn |
| Jul 1, 2023 | 77.30 Mn |
| Apr 1, 2023 | 78.60 Mn |
| Dec 31, 2022 | 79.50 Mn |
| Oct 1, 2022 | 105.90 Mn |
| Jul 2, 2022 | 104.80 Mn |
| Apr 2, 2022 | 103.40 Mn |
| Jan 1, 2022 | 103.70 Mn |
API Access
Gates Industrial 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=GTES&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=GTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();