Teekay (TK) Selling, General & Administrative (2009 - 2024)
Teekay's Selling, General & Administrative came in at -$54.77 million for FY2025, compared with -$61.06 million in FY2024.
Analysis
Teekay (TK) Selling, General & Administrative (2009 - 2024) Analysis & Trends
Going back to FY2009, Teekay's Selling, General & Administrative data covers 17 years.
- The FY2025 figure represents the highest annual Selling, General & Administrative since FY2014.
- Per Business Quant, earlier years put Selling, General & Administrative at -$61.06 million in FY2024, -$57.59 million in FY2023, -$57.55 million in FY2022 and -$74.39 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 161.62 Bn | 156.15 Bn | - | - |
| 2 | Csx | 86.16 Bn | 82.37 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 74.78 Bn | 74.50 Bn | - | - |
| 4 | United Parcel Service | 70.01 Bn | 46.94 Bn | - | - |
| 5 | Norfolk Southern | 69.45 Bn | 64.09 Bn | - | - |
| 6 | Fedex | 67.46 Bn | 33.40 Bn | - | - |
| 7 | Delta Air Lines | 54.88 Bn | 37.06 Bn | - | - |
| 8 | Old Dominion Freight Line | 36.07 Bn | 35.33 Bn | - | - |
| 9 | Ryanair Holdings | 28.71 Bn | 12.72 Bn | 3.13 Bn | - |
| 10 | Teekay | 1.23 Bn | -950.72 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2024 | -12.33 Mn |
| Sep 30, 2024 | -13.94 Mn |
| Jun 30, 2024 | -17.99 Mn |
| Mar 31, 2024 | -16.80 Mn |
| Dec 31, 2023 | -12.12 Mn |
| Sep 30, 2023 | -13.82 Mn |
| Jun 30, 2023 | -16.43 Mn |
| Mar 31, 2023 | -15.22 Mn |
| Dec 31, 2022 | -13.67 Mn |
| Sep 30, 2022 | -13.66 Mn |
| Jun 30, 2022 | -14.14 Mn |
| Mar 31, 2022 | -16.08 Mn |
| Dec 31, 2021 | -17.02 Mn |
| Sep 30, 2021 | -19.17 Mn |
| Jun 30, 2021 | -19.20 Mn |
| Mar 31, 2021 | -19.01 Mn |
| Dec 31, 2020 | -15.66 Mn |
| Sep 30, 2020 | -18.07 Mn |
| Jun 30, 2020 | -23.67 Mn |
| Mar 31, 2020 | -18.28 Mn |
API Access
Teekay Selling, General & Administrative 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=selling-general-and-administrative&ticker=TK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=TK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();