Norfolk Southern (NSC) Total Non-Current Liabilities (2009 - 2026)
Norfolk Southern (NSC) reported Total Non-Current Liabilities of $27.16 billion for Q2 2026, down 1.8% from $27.66 billion a year earlier and down 1.6% from the prior quarter.
Norfolk Southern (NSC) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Norfolk Southern posted Total Non-Current Liabilities of $27.97 billion, up 1.3% from FY2024.
- Total Non-Current Liabilities has increased for eight consecutive years, with a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $27.62 billion in FY2024 (+2.2%), $27.03 billion in FY2023 (+10.8%), $24.39 billion in FY2022 (+6.2%) and $22.97 billion in FY2021 (+8.4%).
- The Q2 2026 figure ranks as the lowest quarterly Total Non-Current Liabilities since Q4 2023.
- Year over year, Total Non-Current Liabilities gained in four of the last eight quarters, with growth averaging 0.7%.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q1 2024 (growth of 12.8%); the low point was Q2 2026 (a decline of 1.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $27.59 billion (Q1 2026), $27.97 billion (Q4 2025) and $27.73 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - | 48.79 Bn |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - | 30.11 Bn |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - | 29.47 Bn |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - | 52.41 Bn |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - | 27.16 Bn |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - | 62.88 Bn |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - | 30.90 Bn |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - | 656.79 Mn |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn | 151.69 Mn |
| 10 | Copart | 25.14 Bn | 9.56 Bn | 645.66 Mn | 921.45 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 27.16 Bn |
| Mar 31, 2026 | 27.59 Bn |
| Dec 31, 2025 | 27.97 Bn |
| Sep 30, 2025 | 27.73 Bn |
| Jun 30, 2025 | 27.66 Bn |
| Mar 31, 2025 | 27.59 Bn |
| Dec 31, 2024 | 27.62 Bn |
| Sep 30, 2024 | 27.68 Bn |
| Jun 30, 2024 | 27.83 Bn |
| Mar 31, 2024 | 27.83 Bn |
| Dec 31, 2023 | 27.03 Bn |
| Sep 30, 2023 | 26.30 Bn |
| Jun 30, 2023 | 24.81 Bn |
| Mar 31, 2023 | 24.66 Bn |
| Dec 31, 2022 | 24.39 Bn |
| Sep 30, 2022 | 24.45 Bn |
| Jun 30, 2022 | 24.34 Bn |
| Mar 31, 2022 | 24.06 Bn |
| Dec 31, 2021 | 22.97 Bn |
| Sep 30, 2021 | 22.77 Bn |
Norfolk Southern 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=NSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "NSC", "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=NSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();