Canadian Pacific Kansas City (CP) Accumulated Expenses (2014 - 2025)
Canadian Pacific Kansas City (CP) recorded Accumulated Expenses of $428.1 million in Q4 2025, down 18.3% from $524 million a year earlier.
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Analysis
Canadian Pacific Kansas City (CP) Accumulated Expenses (2014 - 2025) Analysis & Trends
At the end of FY2025, Canadian Pacific Kansas City reported Accumulated Expenses of $427.29 million, down 20.1% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of 14.3% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $534.65 million in FY2024 (+8.2%), $494.36 million in FY2023 (+126.3%), $218.44 million in FY2022 (-4.3%) and $228.22 million in FY2021 (+4.0%).
- The Q4 2025 figure is the lowest quarterly Accumulated Expenses since Q4 2022.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn |
| 10 | Copart | 25.27 Bn | 9.69 Bn | 645.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 428.10 Mn |
| Dec 31, 2024 | 524.00 Mn |
| Dec 31, 2023 | 489.94 Mn |
| Dec 31, 2022 | 209.22 Mn |
| Dec 31, 2021 | 226.89 Mn |
| Dec 31, 2020 | 225.51 Mn |
| Dec 31, 2019 | 263.61 Mn |
| Dec 31, 2018 | 272.74 Mn |
| Dec 31, 2017 | 201.51 Mn |
| Dec 31, 2016 | 211.41 Mn |
| Dec 31, 2015 | 219.56 Mn |
| Dec 31, 2014 | 285.34 Mn |
API Access
Canadian Pacific Kansas City Accumulated 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=accumulated-expenses&ticker=CP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "CP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=CP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();