Greenbrier Companies (GBX) Cost of Revenue (2009 - 2026)
Greenbrier Companies' Cost of Revenue was $511.2 million in fiscal Q4 2026 (quarter ended Aug 31, 2026), down 17.0% from $615.7 million a year earlier but up 3.2% from the prior quarter.
Greenbrier Companies (GBX) Cost of Revenue (2009 - 2026) Analysis & Trends
For FY2026 (ended Aug 31, 2026), Cost of Revenue at Greenbrier Companies came in at $2.13 billion, down 19.2% from FY2025.
- Cost of Revenue has now declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 7.0% (FY2021 to FY2026).
- In earlier fiscal years, Cost of Revenue was $2.63 billion in FY2025 (-11.8%), $2.99 billion in FY2024 (-14.8%), $3.5 billion in FY2023 (+31.1%) and $2.67 billion in FY2022 (+76.2%).
- Quarterly Cost of Revenue has moved between $495.4 million (fiscal Q3 2026) and $1.01 billion (fiscal Q2 2023) over five years.
- Compared with a year earlier, Cost of Revenue has declined for seven straight quarters, with an average decline of 14.9% over the last eight quarters.
- The best year-over-year quarter for Cost of Revenue over five years was fiscal Q2 2022 (growth of 125.9%); the worst was fiscal Q4 2025 (a decline of 28.6%).
- Per Business Quant data, GBX's Cost of Revenue in the three fiscal quarters before Q4 2026 was $495.4 million (Q3 2026), $518 million (Q2 2026) and $602.8 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 267.46 Bn | 238.77 Bn | 7.35 Bn | 13.33 Bn |
| 2 | Amphenol | 197.37 Bn | 192.21 Bn | 4.02 Bn | 6.21 Bn |
| 3 | Deere | 185.36 Bn | 194.13 Bn | 4.66 Bn | 7.95 Bn |
| 4 | Eaton | 137.64 Bn | 134.62 Bn | 3.11 Bn | 5.84 Bn |
| 5 | Parker-Hannifin | 121.80 Bn | 119.79 Bn | 2.26 Bn | 3.73 Bn |
| 6 | 3M | 97.84 Bn | 80.25 Bn | 2.78 Bn | 3.80 Bn |
| 7 | Emerson Electric | 93.37 Bn | 85.86 Bn | 2.74 Bn | 2.46 Bn |
| 8 | Illinois Tool Works | 81.86 Bn | 78.53 Bn | 1.91 Bn | 2.33 Bn |
| 9 | Vertiv Holdings | 74.77 Bn | 63.62 Bn | 1.64 Bn | 2.67 Bn |
| 10 | Greenbrier Companies | 1.30 Bn | 23.85 Mn | 79.80 Mn | 511.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 31, 2026 | 511.20 Mn |
| May 31, 2026 | 495.40 Mn |
| Feb 28, 2026 | 518.00 Mn |
| Nov 30, 2025 | 602.80 Mn |
| Aug 31, 2025 | 615.70 Mn |
| May 31, 2025 | 691.20 Mn |
| Feb 28, 2025 | 623.50 Mn |
| Nov 30, 2024 | 702.30 Mn |
| Aug 31, 2024 | 861.80 Mn |
| May 31, 2024 | 696.40 Mn |
| Feb 29, 2024 | 740.50 Mn |
| Nov 30, 2023 | 687.50 Mn |
| Aug 31, 2023 | 890.70 Mn |
| May 31, 2023 | 910.00 Mn |
| Feb 28, 2023 | 1.01 Bn |
| Nov 30, 2022 | 697.00 Mn |
| Aug 31, 2022 | 823.40 Mn |
| May 31, 2022 | 717.20 Mn |
| Feb 28, 2022 | 628.00 Mn |
| Nov 30, 2021 | 503.10 Mn |
Greenbrier Companies Cost of Revenue 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=cost-of-revenue&ticker=GBX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=GBX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();