Teekay (TK) Operating Expenses (2009 - 2024)
Teekay (TK) recorded Operating Expenses of -$238.86 million in FY2025, compared with -$252.59 million in FY2024.
Analysis
Teekay (TK) Operating Expenses (2009 - 2024) Analysis & Trends
Starting with FY2009, Teekay's Operating Expenses history includes 17 years.
- The FY2025 figure is the highest annual Operating Expenses since FY2011.
- Per Business Quant data, TK's Operating Expenses was -$252.59 million in FY2024, -$241.59 million in FY2023, -$275.14 million in FY2022 and -$295.6 million in FY2021.
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 | Teekay | 1.20 Bn | -974.82 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -63.85 Mn |
| Sep 30, 2024 | -64.96 Mn |
| Jun 30, 2024 | -63.77 Mn |
| Mar 31, 2024 | -60.01 Mn |
| Dec 31, 2023 | -61.18 Mn |
| Sep 30, 2023 | -59.39 Mn |
| Jun 30, 2023 | -60.09 Mn |
| Mar 31, 2023 | -60.92 Mn |
| Dec 31, 2022 | -63.35 Mn |
| Sep 30, 2022 | -59.58 Mn |
| Jun 30, 2022 | -80.27 Mn |
| Mar 31, 2022 | -71.94 Mn |
| Dec 31, 2021 | -72.98 Mn |
| Sep 30, 2021 | -66.96 Mn |
| Jun 30, 2021 | -77.13 Mn |
| Mar 31, 2021 | -78.54 Mn |
| Dec 31, 2020 | -95.22 Mn |
| Sep 30, 2020 | -153.76 Mn |
| Jun 30, 2020 | -147.80 Mn |
| Mar 31, 2020 | -153.29 Mn |
API Access
Teekay 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=TK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "TK", "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=TK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();