Csx (CSX) Total Liabilities (2009 - 2026)
Csx (CSX) posted Total Liabilities of $30.64 billion for Q2 2026, up 0.3% from $30.55 billion a year earlier and unchanged from the prior quarter.
Analysis
Csx (CSX) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Csx's Total Liabilities came in at $30.54 billion, up 0.8% from FY2024.
- Annual Total Liabilities has increased for eight consecutive years, with a five-year compound annual growth rate of 2.7% (FY2020 to FY2025).
- In prior years, Csx's Total Liabilities was $30.29 billion in FY2024 (+0.3%), $30.22 billion in FY2023 (+3.4%), $29.23 billion in FY2022 (+7.9%) and $27.08 billion in FY2021 (+1.5%).
- Quarterly Total Liabilities has run from a low of $26.96 billion in Q3 2021 to a high of $31.03 billion in Q1 2025 over five years.
- On a year-over-year basis, Total Liabilities increased in seven of the last eight quarters, with growth averaging 1.1%.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2022, with growth of 8.9%; the weakest was Q1 2026, with a decline of 1.2%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $30.65 billion (Q1 2026), $30.54 billion (Q4 2025) and $30.54 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 50.54 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 30.64 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 30.13 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 56.17 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 28.87 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 67.29 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 64.51 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.19 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 10.09 Bn |
| 10 | Copart | 25.20 Bn | 8.75 Bn | 732.88 Mn | 874.77 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.64 Bn |
| Mar 31, 2026 | 30.65 Bn |
| Dec 31, 2025 | 30.54 Bn |
| Sep 30, 2025 | 30.54 Bn |
| Jun 30, 2025 | 30.55 Bn |
| Mar 31, 2025 | 31.03 Bn |
| Dec 31, 2024 | 30.29 Bn |
| Sep 30, 2024 | 30.13 Bn |
| Jun 30, 2024 | 29.74 Bn |
| Mar 31, 2024 | 30.04 Bn |
| Dec 31, 2023 | 30.22 Bn |
| Sep 30, 2023 | 29.83 Bn |
| Jun 30, 2023 | 28.91 Bn |
| Mar 31, 2023 | 29.10 Bn |
| Dec 31, 2022 | 29.23 Bn |
| Sep 30, 2022 | 29.36 Bn |
| Jun 30, 2022 | 27.23 Bn |
| Mar 31, 2022 | 27.26 Bn |
| Dec 31, 2021 | 27.08 Bn |
| Sep 30, 2021 | 26.96 Bn |
API Access
Csx Total 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-liabilities&ticker=CSX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "CSX", "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-liabilities&ticker=CSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();