Teekay (TK) Other Operating Expenses (2009 - 2024)
Teekay's Other Operating Expenses was $101.75 million in FY2025, up 167.2% from $38.08 million in FY2024.
Powered by 
Analysis
Teekay (TK) Other Operating Expenses (2009 - 2024) Analysis & Trends
From FY2009 onward, Teekay has reported Other Operating Expenses for 17 years.
- The FY2025 figure marks the highest annual Other Operating Expenses since FY2015.
- Per Business Quant data, Other Operating Expenses in earlier years was $38.08 million in FY2024 (+267.6%), $10.36 million in FY2023 (-52.6%), $21.86 million in FY2022 and -$92.37 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 162.83 Bn | 157.35 Bn | - |
| 2 | Csx | 86.94 Bn | 83.15 Bn | - |
| 3 | Canadian Pacific Kansas City | 76.07 Bn | 75.78 Bn | - |
| 4 | United Parcel Service | 70.39 Bn | 47.31 Bn | - |
| 5 | Norfolk Southern | 70.35 Bn | 64.99 Bn | - |
| 6 | Fedex | 68.01 Bn | 33.95 Bn | - |
| 7 | Delta Air Lines | 55.83 Bn | 38.01 Bn | - |
| 8 | Old Dominion Freight Line | 36.82 Bn | 36.08 Bn | - |
| 9 | Ryanair Holdings | 28.96 Bn | 12.97 Bn | 3.13 Bn |
| 10 | Teekay | 1.22 Bn | -962.77 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -34.38 Mn |
| Sep 30, 2024 | -26.93 Mn |
| Jun 30, 2024 | -26.11 Mn |
| Mar 31, 2024 | -23.70 Mn |
| Dec 31, 2023 | -29.24 Mn |
| Sep 30, 2023 | -26.19 Mn |
| Jun 30, 2023 | -24.92 Mn |
| Mar 31, 2023 | -31.14 Mn |
| Dec 31, 2022 | -37.83 Mn |
| Sep 30, 2022 | -37.48 Mn |
| Jun 30, 2022 | -57.61 Mn |
| Mar 31, 2022 | -45.71 Mn |
| Dec 31, 2021 | -4.27 Mn |
| Sep 30, 2021 | -697,000.00 |
| Jun 30, 2021 | -77.98 Mn |
| Mar 31, 2021 | -53.95 Mn |
| Dec 31, 2020 | 22.31 Mn |
| Sep 30, 2020 | -66.27 Mn |
| Jun 30, 2020 | -10.67 Mn |
| Mar 31, 2020 | -74.40 Mn |
API Access
Teekay Other 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=other-operating-expenses&ticker=TK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-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=other-operating-expenses&ticker=TK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();