Garrett Motion (GTX) Non Operating Interest Expenses (2017 - 2024)
Garrett Motion's Non Operating Interest Expenses came in at $31 million for Q1 2024, up 14.8% from $27 million a year earlier but down 39.2% from the prior quarter.
Garrett Motion (GTX) Non Operating Interest Expenses (2017 - 2024) Analysis & Trends
Over the trailing twelve months to Mar 31, 2024, Garrett Motion reported Non Operating Interest Expenses of $162 million; for FY2023, it was $159 million.
- Non Operating Interest Expenses carries a five-year compound annual growth rate of 52.9% (FY2018 to FY2023).
- Going back by year, Non Operating Interest Expenses was $8 million in FY2022 (-90.4%), $83 million in FY2021 (+5.1%), $79 million in FY2020 (+16.2%) and $68 million in FY2019 (+257.9%).
- The five-year range for quarterly Non Operating Interest Expenses is -$53 million (Q4 2022) to $51 million (Q4 2023).
- Year-over-year, Non Operating Interest Expenses increased in four of the last six quarters, with growth averaging 35.9%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q3 2023 (growth of 177.8%), and the weakest in Q4 2021 (a decline of 43.5%).
- Business Quant data shows GTX's Non Operating Interest Expenses at $51 million (Q4 2023), $50 million (Q3 2023) and $30 million (Q2 2023) in the three quarters before Q1 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 135.00 Mn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 213.70 Mn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 710.00 Mn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 201.00 Mn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 95.00 Mn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 17.40 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | - |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | - |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 79.00 Mn |
| 10 | Garrett Motion | 4.86 Bn | 4.16 Bn | 212.00 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 31.00 Mn |
| Dec 31, 2023 | 51.00 Mn |
| Sep 30, 2023 | 50.00 Mn |
| Jun 30, 2023 | 30.00 Mn |
| Mar 31, 2023 | 27.00 Mn |
| Dec 31, 2022 | -53.00 Mn |
| Sep 30, 2022 | 18.00 Mn |
| Jun 30, 2022 | 20.00 Mn |
| Mar 31, 2022 | 23.00 Mn |
| Dec 31, 2021 | 13.00 Mn |
| Sep 30, 2021 | 25.00 Mn |
| Jun 30, 2021 | 24.00 Mn |
| Mar 31, 2021 | 21.00 Mn |
| Dec 31, 2020 | 23.00 Mn |
| Sep 30, 2020 | 20.00 Mn |
| Jun 30, 2020 | 20.00 Mn |
| Mar 31, 2020 | 16.00 Mn |
| Dec 31, 2019 | 16.00 Mn |
| Sep 30, 2019 | 18.00 Mn |
| Jun 30, 2019 | 18.00 Mn |
Garrett Motion Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=GTX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "GTX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=GTX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();