Teekay (TK) Interest Expenses (2009 - 2024)
Teekay's Interest Expenses came in at -$2.9 million for FY2025, compared with -$7.54 million in FY2024.
Analysis
Teekay (TK) Interest Expenses (2009 - 2024) Analysis & Trends
Going back to FY2009, Teekay's Interest Expenses data covers 17 years.
- The FY2025 figure represents the highest annual Interest Expenses since FY2014.
- Per Business Quant, earlier years put Interest Expenses at -$7.54 million in FY2024, -$28.01 million in FY2023, -$38.58 million in FY2022 and -$68.41 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 313.00 Mn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 211.00 Mn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | - |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 272.00 Mn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 197.00 Mn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | - |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 76,000.00 |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | -17.32 Mn |
| 10 | Teekay | 1.20 Bn | -974.82 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -798,000.00 |
| Sep 30, 2024 | -844,000.00 |
| Jun 30, 2024 | -1.00 Mn |
| Mar 31, 2024 | -4.90 Mn |
| Dec 31, 2023 | -4.22 Mn |
| Sep 30, 2023 | -6.46 Mn |
| Jun 30, 2023 | -5.96 Mn |
| Mar 31, 2023 | -11.38 Mn |
| Dec 31, 2022 | -9.76 Mn |
| Sep 30, 2022 | -9.40 Mn |
| Jun 30, 2022 | -9.41 Mn |
| Mar 31, 2022 | -10.00 Mn |
| Dec 31, 2021 | -15.41 Mn |
| Sep 30, 2021 | -16.89 Mn |
| Jun 30, 2021 | -17.70 Mn |
| Mar 31, 2021 | -18.42 Mn |
| Dec 31, 2020 | -19.45 Mn |
| Sep 30, 2020 | -53.18 Mn |
| Jun 30, 2020 | -59.25 Mn |
| Mar 31, 2020 | -62.52 Mn |
API Access
Teekay Interest 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=interest-expenses&ticker=TK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-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=interest-expenses&ticker=TK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();