Teekay (TK) Dividends payables (2009 - 2026)
Teekay's Dividends payables came in at $1,000 for Q2 2026, down 100.0% from $85.27 million a year earlier.
Analysis
Teekay (TK) Dividends payables (2009 - 2026) Analysis & Trends
Going back to Q1 2009, Teekay's Dividends payables data covers 45 quarters.
- Going back by year, Dividends payables was $1,000 in FY2024.
- The five-year range for quarterly Dividends payables is $1,000 (Q4 2024) to $85.27 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dividends payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 162.85 Bn | 157.37 Bn | - | - |
| 2 | Csx | 86.62 Bn | 82.84 Bn | - | - |
| 3 | Canadian Pacific Kansas City | 76.11 Bn | 75.83 Bn | - | - |
| 4 | United Parcel Service | 70.66 Bn | 47.58 Bn | - | - |
| 5 | Norfolk Southern | 70.32 Bn | 64.96 Bn | - | - |
| 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 | - | - |
| 9 | Ryanair Holdings | 28.78 Bn | 12.78 Bn | 3.13 Bn | - |
| 10 | Teekay | 1.20 Bn | -974.82 Mn | - | 1,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,000.00 |
| Dec 31, 2025 | 1,000.00 |
| Jun 30, 2025 | 85.27 Mn |
| Dec 31, 2024 | 1,000.00 |
| Mar 31, 2020 | 6.49 Mn |
| Dec 31, 2019 | 55.00 |
| Dec 31, 2018 | 220.00 |
| Sep 30, 2018 | 165.00 |
| Jun 30, 2018 | 110.00 |
| Mar 31, 2018 | 55.00 |
| Dec 31, 2017 | 220.00 |
| Sep 30, 2017 | 165.00 |
| Jun 30, 2017 | 110.00 |
| Mar 31, 2017 | 55.00 |
| Dec 31, 2016 | 220.00 |
| Sep 30, 2016 | 165.00 |
| Jun 30, 2016 | 110.00 |
| Mar 31, 2016 | 55.00 |
| Dec 31, 2015 | 1,732.50 |
| Sep 30, 2015 | 1,182.50 |
API Access
Teekay Dividends payables 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=dividends-payables&ticker=TK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-payables", "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=dividends-payables&ticker=TK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();