Norfolk Southern (NSC) Operating Expenses (2009 - 2026)
Norfolk Southern (NSC) posted Operating Expenses of $2.34 billion for Q2 2026, up 21.0% from $1.94 billion a year earlier and up 10.4% from the prior quarter.
Norfolk Southern (NSC) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Norfolk Southern was $8.5 billion, up 19.3% year-over-year; for FY2025, it came in at $7.82 billion, down 2.8% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- In prior years, Norfolk Southern's Operating Expenses was $8.05 billion in FY2024 (-13.5%), $9.31 billion in FY2023 (+17.3%), $7.94 billion in FY2022 (+18.5%) and $6.7 billion in FY2021 (-1.4%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q1 2024.
- On a year-over-year basis, Operating Expenses has increased in each of the last five quarters, with an average decline of 0.3% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2025, with growth of 37.8%; the weakest was Q3 2024, with a decline of 34.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $2.12 billion (Q1 2026), $2.04 billion (Q4 2025) and $2.01 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | 4.10 Bn |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | 2.43 Bn |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | 1.95 Bn |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | 21.90 Bn |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | 2.34 Bn |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | 17.89 Bn |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | 1.09 Bn |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | 4.43 Bn |
| 10 | Copart | 25.27 Bn | 9.69 Bn | 645.66 Mn | 783.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.34 Bn |
| Mar 31, 2026 | 2.12 Bn |
| Dec 31, 2025 | 2.04 Bn |
| Sep 30, 2025 | 2.01 Bn |
| Jun 30, 2025 | 1.94 Bn |
| Mar 31, 2025 | 1.85 Bn |
| Dec 31, 2024 | 1.89 Bn |
| Sep 30, 2024 | 1.46 Bn |
| Jun 30, 2024 | 1.91 Bn |
| Mar 31, 2024 | 2.79 Bn |
| Dec 31, 2023 | 2.27 Bn |
| Sep 30, 2023 | 2.22 Bn |
| Jun 30, 2023 | 2.40 Bn |
| Mar 31, 2023 | 2.42 Bn |
| Dec 31, 2022 | 2.06 Bn |
| Sep 30, 2022 | 2.07 Bn |
| Jun 30, 2022 | 1.98 Bn |
| Mar 31, 2022 | 1.83 Bn |
| Dec 31, 2021 | 1.72 Bn |
| Sep 30, 2021 | 1.72 Bn |
Norfolk Southern Operating Expenses 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=operating-expenses&ticker=NSC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=NSC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();