Teekay (TK) Capital Expenditures (2015 - 2021)
Teekay's Capital Expenditures was -$190.26 million in FY2025, compared with -$70.5 million in FY2024.
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Analysis
Teekay (TK) Capital Expenditures (2015 - 2021) Analysis & Trends
From FY2009 onward, Teekay has reported Capital Expenditures for 15 years.
- The FY2025 figure marks the lowest annual Capital Expenditures in data going back to FY2009.
- Per Business Quant data, Capital Expenditures in earlier years was -$70.5 million in FY2024 and $21.45 million in FY2021 (+33.8%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | 873.00 Mn |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | 576.00 Mn |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | 547.98 Mn |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | 693.00 Mn |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | 439.00 Mn |
| 6 | Fedex | 68.53 Bn | 34.48 Bn | - | 1.47 Bn |
| 7 | Delta Air Lines | 55.25 Bn | 37.43 Bn | - | -786.00 Mn |
| 8 | Old Dominion Freight Line | 36.69 Bn | 35.95 Bn | - | 77.04 Mn |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | -551.77 Mn |
| 10 | Teekay | 1.20 Bn | -974.82 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | -19.06 Mn |
| Sep 30, 2021 | 20.42 Mn |
| Dec 31, 2020 | -2.44 Mn |
| Sep 30, 2020 | 5.64 Mn |
| Dec 31, 2019 | -87.09 Mn |
| Sep 30, 2019 | 9.59 Mn |
| Dec 31, 2018 | 129.33 Mn |
| Sep 30, 2018 | 249.12 Mn |
| Dec 31, 2017 | 359.55 Mn |
| Sep 30, 2017 | 328.60 Mn |
| Dec 31, 2016 | 100.98 Mn |
| Sep 30, 2016 | 278.24 Mn |
| Dec 31, 2015 | 1.84 Bn |
| Sep 30, 2015 | -920.24 Mn |
API Access
Teekay Capital Expenditures 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=capital-expenditures&ticker=TK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=TK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();