Teekay (TK) Operating Expenses (2009 - 2024)
Teekay (TK) recorded Operating Expenses of -$238.86 million in FY2025, compared with -$252.59 million in FY2024.
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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 | 170.80 Bn | 165.33 Bn | - | 4.10 Bn |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - | 2.43 Bn |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - | 21.90 Bn |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - | 1.95 Bn |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - | 2.34 Bn |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - | 23.46 Bn |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - | 18.73 Bn |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - | 1.09 Bn |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - | 16.58 Bn |
| 10 | Teekay | 1.19 Bn | -2.67 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -18.21 Mn |
| Sep 30, 2024 | -38.04 Mn |
| Jun 30, 2024 | -37.66 Mn |
| Mar 31, 2024 | -36.31 Mn |
| Dec 31, 2023 | -28.57 Mn |
| Sep 30, 2023 | -33.20 Mn |
| Jun 30, 2023 | -35.18 Mn |
| Mar 31, 2023 | -29.78 Mn |
| Dec 31, 2022 | -25.52 Mn |
| Sep 30, 2022 | -22.10 Mn |
| Jun 30, 2022 | -22.66 Mn |
| Mar 31, 2022 | -26.23 Mn |
| Dec 31, 2021 | -85.76 Mn |
| Sep 30, 2021 | 122.36 Mn |
| Jun 30, 2021 | 130.57 Mn |
| Mar 31, 2021 | -24.58 Mn |
| Dec 31, 2020 | -43.30 Mn |
| Sep 30, 2020 | 153.76 Mn |
| Jun 30, 2020 | 147.80 Mn |
| Mar 31, 2020 | -47.72 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_KEYimport 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();