Csx (CSX) Operating Expenses (2009 - 2026)
Csx (CSX) recorded Operating Expenses of $2.43 billion in Q2 2026, up 6.0% from $2.29 billion a year earlier and up 9.0% from the prior quarter.
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Analysis
Csx (CSX) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Csx's Operating Expenses came in at $9.56 billion as of Jun 30, 2026, up 2.0% year-over-year; for FY2025, it was $9.57 billion, up 3.0% from FY2024.
- Annual Operating Expenses has increased for five straight years, with a five-year compound annual growth rate of 9.0% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $9.3 billion in FY2024 (+1.5%), $9.16 billion in FY2023 (+2.9%), $8.9 billion in FY2022 (+28.4%) and $6.93 billion in FY2021 (+11.4%).
- Quarterly Operating Expenses has ranged from $1.86 billion in Q3 2021 to $2.5 billion in Q3 2025 over the past five years.
- On a year-over-year basis, Operating Expenses rose in five of the last eight quarters, with growth averaging 1.6%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 62.6% in Q2 2022, against a decline of 6.4% in Q1 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.23 billion (Q1 2026), $2.4 billion (Q4 2025) and $2.5 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 4.10 Bn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 2.43 Bn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 1.95 Bn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 21.90 Bn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 2.34 Bn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | 17.89 Bn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 1.09 Bn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | 4.43 Bn |
| 10 | Copart | 25.20 Bn | 8.75 Bn | 732.88 Mn | 772.78 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.43 Bn |
| Mar 31, 2026 | 2.23 Bn |
| Dec 31, 2025 | 2.40 Bn |
| Sep 30, 2025 | 2.50 Bn |
| Jun 30, 2025 | 2.29 Bn |
| Mar 31, 2025 | 2.38 Bn |
| Dec 31, 2024 | 2.43 Bn |
| Sep 30, 2024 | 2.27 Bn |
| Jun 30, 2024 | 2.25 Bn |
| Mar 31, 2024 | 2.34 Bn |
| Dec 31, 2023 | 2.37 Bn |
| Sep 30, 2023 | 2.30 Bn |
| Jun 30, 2023 | 2.23 Bn |
| Mar 31, 2023 | 2.26 Bn |
| Dec 31, 2022 | 2.34 Bn |
| Sep 30, 2022 | 2.32 Bn |
| Jun 30, 2022 | 2.11 Bn |
| Mar 31, 2022 | 2.13 Bn |
| Dec 31, 2021 | 2.06 Bn |
| Sep 30, 2021 | 1.86 Bn |
API Access
Csx 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=CSX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=CSX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();