Gates Industrial (GTES) Long-Term Debt Issuances (2017 - 2024)
Gates Industrial (GTES) recorded Long-Term Debt Issuances of $1.84 billion in FY2024, compared with $100 million in FY2023.
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Analysis
Gates Industrial (GTES) Long-Term Debt Issuances (2017 - 2024) Analysis & Trends
Starting with FY2016, Gates Industrial's Long-Term Debt Issuances history includes 6 years.
- Annual Long-Term Debt Issuances has a five-year compound annual growth rate of 26.5% (FY2019 to FY2024).
- The FY2024 figure is the highest annual Long-Term Debt Issuances in data going back to FY2016.
- Per Business Quant data, GTES's Long-Term Debt Issuances was $100 million in FY2023 (-84.5%) and $645 million in FY2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Issuance (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 314.93 Bn | 286.62 Bn | 7.76 Bn | 3.46 Bn |
| 2 | Amphenol | 179.86 Bn | 174.44 Bn | 3.55 Bn | - |
| 3 | Deere | 171.32 Bn | 139.41 Bn | 4.66 Bn | 1.92 Bn |
| 4 | Eaton | 141.15 Bn | 138.34 Bn | 2.86 Bn | - |
| 5 | Parker-Hannifin | 110.85 Bn | 108.97 Bn | 2.25 Bn | 11.00 Mn |
| 6 | Emerson Electric | 89.06 Bn | 81.80 Bn | 2.66 Bn | - |
| 7 | 3M | 88.96 Bn | 70.40 Bn | 2.78 Bn | 3.18 Bn |
| 8 | Illinois Tool Works | 78.47 Bn | 75.03 Bn | 1.90 Bn | - |
| 9 | Vertiv Holdings | 73.96 Bn | 64.58 Bn | 1.23 Bn | - |
| 10 | Gates Industrial | 6.21 Bn | 3.10 Bn | 386.10 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 28, 2024 | 40.00 Mn |
| Jul 1, 2023 | 100.00 Mn |
| Dec 31, 2022 | 575.00 Mn |
| Apr 2, 2022 | 70.00 Mn |
| Jul 1, 2017 | 494.70 Mn |
| Apr 1, 2017 | 150.00 Mn |
API Access
Gates Industrial Long-Term Debt Issuances 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=long-term-debt-issuances&ticker=GTES&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-issuances", "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=long-term-debt-issuances&ticker=GTES&period=max&api_key=YOUR_API_KEY");
const data = await res.json();