Gatx (GATX) Interest Expenses (2009 - 2025)
Gatx's Interest Expenses was $94.9 million in Q1 2025, up 22.0% from $77.8 million a year earlier and up 3.7% from the prior quarter.
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Analysis
Gatx (GATX) Interest Expenses (2009 - 2025) Analysis & Trends
On a trailing twelve-month basis, Gatx's Interest Expenses was $358.1 million through Mar 31, 2025, up 26.9% year-over-year; for FY2024, it was $341 million, up 29.5% from FY2023.
- Interest Expenses has now increased for eight consecutive years, with a five-year compound annual growth rate of 13.6% (FY2019 to FY2024).
- In earlier years, Interest Expenses was $263.4 million in FY2023 (+23.1%), $214 million in FY2022 (+4.9%), $204 million in FY2021 (+7.2%) and $190.3 million in FY2020 (+5.4%).
- The Q1 2025 figure marks the highest quarterly Interest Expenses in data going back to Q2 2009.
- Compared with a year earlier, Interest Expenses has increased for 12 straight quarters, with growth averaging 27.1% over the last eight quarters.
- The best year-over-year quarter for Interest Expenses over five years was Q1 2024 (growth of 31.9%); the worst was Q1 2022 (a decline of 4.5%).
- Per Business Quant data, GATX's Interest Expenses in the three quarters before Q1 2025 was $91.5 million (Q4 2024), $88.9 million (Q3 2024) and $82.8 million (Q2 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 334.06 Bn | 305.75 Bn | 7.76 Bn | 497.00 Mn |
| 2 | Amphenol | 195.22 Bn | 189.80 Bn | 3.55 Bn | 213.70 Mn |
| 3 | Deere | 170.77 Bn | 138.86 Bn | 4.66 Bn | 661.00 Mn |
| 4 | Eaton | 148.39 Bn | 145.58 Bn | 2.86 Bn | 201.00 Mn |
| 5 | Parker-Hannifin | 119.49 Bn | 117.61 Bn | 2.25 Bn | 95.00 Mn |
| 6 | Emerson Electric | 89.58 Bn | 82.32 Bn | 2.66 Bn | - |
| 7 | 3M | 88.93 Bn | 70.33 Bn | 2.68 Bn | - |
| 8 | Illinois Tool Works | 78.81 Bn | 75.37 Bn | 1.90 Bn | 79.00 Mn |
| 9 | Vertiv Holdings | 78.25 Bn | 68.87 Bn | 1.23 Bn | 17.40 Mn |
| 10 | Gatx | 5.77 Bn | 2.84 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 94.90 Mn |
| Dec 31, 2024 | 91.50 Mn |
| Sep 30, 2024 | 88.90 Mn |
| Jun 30, 2024 | 82.80 Mn |
| Mar 31, 2024 | 77.80 Mn |
| Dec 31, 2023 | 72.60 Mn |
| Sep 30, 2023 | 68.10 Mn |
| Jun 30, 2023 | 63.70 Mn |
| Mar 31, 2023 | 59.00 Mn |
| Dec 31, 2022 | 57.30 Mn |
| Sep 30, 2022 | 53.60 Mn |
| Jun 30, 2022 | 51.90 Mn |
| Mar 31, 2022 | 51.20 Mn |
| Dec 31, 2021 | 50.60 Mn |
| Sep 30, 2021 | 49.80 Mn |
| Jun 30, 2021 | 50.00 Mn |
| Mar 31, 2021 | 53.60 Mn |
| Dec 31, 2020 | 48.80 Mn |
| Sep 30, 2020 | 48.60 Mn |
| Jun 30, 2020 | 47.40 Mn |
API Access
Gatx 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=interest-expenses&ticker=GATX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "ticker": "GATX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=interest-expenses&ticker=GATX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();