Rb Global (RBA) Total Non-Current Liabilities (2014 - 2026)
Rb Global's Total Non-Current Liabilities came in at $6.76 billion for Q2 2026, up 2.8% from $6.57 billion a year earlier and up 2.1% from the prior quarter.
Rb Global (RBA) Total Non-Current Liabilities (2014 - 2026) Analysis & Trends
At the end of FY2025, Rb Global's Total Non-Current Liabilities was $6.41 billion, down 1.1% from FY2024.
- Total Non-Current Liabilities carries a five-year compound annual growth rate of 40.1% (FY2020 to FY2025).
- Going back by year, Total Non-Current Liabilities was $6.48 billion in FY2024 (-6.5%), $6.93 billion in FY2023 (+350.6%), $1.54 billion in FY2022 (-35.2%) and $2.37 billion in FY2021 (+100.2%).
- The Q2 2026 figure represents the highest quarterly Total Non-Current Liabilities since Q2 2024.
- Year-over-year, Total Non-Current Liabilities increased in two of the last eight quarters, with an average decline of 2.3%.
- The fastest year-over-year change in Total Non-Current Liabilities over five years came in Q3 2023 (growth of 386.0%), and the weakest in Q4 2022 (a decline of 35.2%).
- Business Quant data shows RBA's Total Non-Current Liabilities at $6.62 billion (Q1 2026), $6.41 billion (Q4 2025) and $6.58 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 173.89 Bn | 166.14 Bn | - | 48.84 Bn |
| 2 | Csx | 94.27 Bn | 89.49 Bn | - | 30.27 Bn |
| 3 | United Parcel Service | 86.13 Bn | 63.03 Bn | - | 52.41 Bn |
| 4 | Canadian Pacific Kansas City | 79.52 Bn | 78.54 Bn | - | 28.69 Bn |
| 5 | Norfolk Southern | 74.18 Bn | 68.65 Bn | - | 27.52 Bn |
| 6 | Fedex | 71.02 Bn | 36.96 Bn | - | 62.04 Bn |
| 7 | Delta Air Lines | 50.26 Bn | 32.44 Bn | - | 29.96 Bn |
| 8 | Old Dominion Freight Line | 38.08 Bn | 37.35 Bn | - | 656.79 Mn |
| 9 | United Airlines Holdings | 31.84 Bn | -25.85 Bn | - | 40.73 Bn |
| 10 | Rb Global | 15.61 Bn | 13.22 Bn | 574.60 Mn | 6.76 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.76 Bn |
| Mar 31, 2026 | 6.62 Bn |
| Dec 31, 2025 | 6.41 Bn |
| Sep 30, 2025 | 6.58 Bn |
| Jun 30, 2025 | 6.57 Bn |
| Mar 31, 2025 | 6.50 Bn |
| Dec 31, 2024 | 6.48 Bn |
| Sep 30, 2024 | 6.63 Bn |
| Jun 30, 2024 | 6.83 Bn |
| Mar 31, 2024 | 6.89 Bn |
| Dec 31, 2023 | 6.93 Bn |
| Sep 30, 2023 | 7.03 Bn |
| Jun 30, 2023 | 6.93 Bn |
| Mar 31, 2023 | 6.94 Bn |
| Dec 31, 2022 | 1.54 Bn |
| Sep 30, 2022 | 1.45 Bn |
| Jun 30, 2022 | 1.49 Bn |
| Mar 31, 2022 | 2.49 Bn |
| Dec 31, 2021 | 2.37 Bn |
| Sep 30, 2021 | 1.36 Bn |
Rb Global Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=RBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "RBA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=total-non-current-liabilities&ticker=RBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();