Gatx (GATX) Receivables - Net (2023 - 2026)
Gatx's Receivables - Net was $342.4 million in Q2 2026, up 51.2% from $226.5 million a year earlier but down 1.8% from the prior quarter.
Analysis
Gatx (GATX) Receivables - Net (2023 - 2026) Analysis & Trends
At the end of FY2025, Receivables - Net at Gatx came in at $207.2 million, up 4.1% from FY2024.
- In earlier years, Receivables - Net was $199.1 million in FY2024 (-8.8%) and $218.4 million in FY2023.
- Quarterly Receivables - Net has moved between $199.1 million (Q4 2024) and $348.8 million (Q1 2026) over five years.
- Compared with a year earlier, Receivables - Net has increased for three straight quarters, with growth averaging 26.7% over the last four quarters.
- Per Business Quant data, GATX's Receivables - Net in the three quarters before Q2 2026 was $348.8 million (Q1 2026), $207.2 million (Q4 2025) and $215.4 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 338.35 Bn | 310.05 Bn | 7.76 Bn |
| 2 | Amphenol | 196.58 Bn | 191.16 Bn | 3.55 Bn |
| 3 | Deere | 170.02 Bn | 138.12 Bn | 4.66 Bn |
| 4 | Eaton | 151.86 Bn | 149.05 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 120.43 Bn | 118.55 Bn | 2.25 Bn |
| 6 | Emerson Electric | 91.10 Bn | 83.83 Bn | 2.66 Bn |
| 7 | 3M | 89.06 Bn | 70.46 Bn | 2.68 Bn |
| 8 | Vertiv Holdings | 81.48 Bn | 72.10 Bn | 1.23 Bn |
| 9 | Illinois Tool Works | 79.16 Bn | 75.71 Bn | 1.90 Bn |
| 10 | Gatx | 5.83 Bn | 2.90 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 342.40 Mn |
| Mar 31, 2026 | 348.80 Mn |
| Dec 31, 2025 | 207.20 Mn |
| Sep 30, 2025 | 215.40 Mn |
| Jun 30, 2025 | 226.50 Mn |
| Mar 31, 2025 | 217.30 Mn |
| Dec 31, 2024 | 199.10 Mn |
| Dec 31, 2023 | 218.40 Mn |
API Access
Gatx Receivables - Net 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=receivables-net&ticker=GATX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=GATX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();