Greenbrier Companies (GBX) EBITDA (2010 - 2026)
Greenbrier Companies (GBX) reported EBITDA of $64 million for fiscal Q3 2026 (quarter ended May 31, 2026), down 47.7% from $122.3 million a year earlier but up 13.1% from the prior quarter.
Greenbrier Companies (GBX) EBITDA (2010 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Greenbrier Companies' EBITDA came in at $318.5 million, down 40.4% year-over-year; for FY2025 (ended Aug 31, 2025), it was $481.6 million, up 9.4% from FY2024.
- EBITDA has increased for four consecutive fiscal years, with a five-year compound annual growth rate of 11.6% (FY2020 to FY2025).
- By fiscal year, EBITDA came in at $440.1 million in FY2024 (+55.7%), $282.7 million in FY2023 (+28.5%), $220 million in FY2022 (+55.3%) and $141.7 million in FY2021 (-49.1%).
- Five-year quarterly EBITDA spans a low of $21.2 million in fiscal Q1 2023 and a high of $157.1 million in fiscal Q4 2024.
- Year over year, EBITDA has now declined in each of the last four quarters, with growth averaging 1.4% over the last eight quarters.
- The high point for year-over-year EBITDA in five years was fiscal Q1 2024 (growth of 332.5%); the low point was fiscal Q2 2026 (a decline of 50.4%).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at $56.6 million (Q2 2026), $93.6 million (Q1 2026) and $104.3 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Greenbrier Companies | 1.24 Bn | -100.57 Mn | 81.10 Mn | 64.00 Mn |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 64.00 Mn |
| Feb 28, 2026 | 56.60 Mn |
| Nov 30, 2025 | 93.60 Mn |
| Aug 31, 2025 | 104.30 Mn |
| May 31, 2025 | 122.30 Mn |
| Feb 28, 2025 | 114.00 Mn |
| Nov 30, 2024 | 141.00 Mn |
| Aug 31, 2024 | 157.10 Mn |
| May 31, 2024 | 100.30 Mn |
| Feb 29, 2024 | 91.00 Mn |
| Nov 30, 2023 | 91.70 Mn |
| Aug 31, 2023 | 89.60 Mn |
| May 31, 2023 | 77.60 Mn |
| Feb 28, 2023 | 94.30 Mn |
| Nov 30, 2022 | 21.20 Mn |
| Aug 31, 2022 | 87.50 Mn |
| May 31, 2022 | 44.60 Mn |
| Feb 28, 2022 | 50.70 Mn |
| Nov 30, 2021 | 37.20 Mn |
| Aug 31, 2021 | 68.20 Mn |
Greenbrier Companies EBITDA 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=ebitda&ticker=GBX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "ticker": "GBX", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=ebitda&ticker=GBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();