Seapeak (SEAL-PA) Change in Account Payables (2009 - 2012)
Seapeak's Change in Account Payables was $2.52 million in FY2016, compared with -$319,000 in FY2015.
Analysis
Seapeak (SEAL-PA) Change in Account Payables (2009 - 2012) Analysis & Trends
From FY2009 onward, Seapeak has reported Change in Account Payables for 8 years.
- Change in Account Payables shows a five-year compound annual growth rate of -37.8% (FY2011 to FY2016).
- The FY2016 figure marks the highest annual Change in Account Payables since FY2011.
- Per Business Quant data, Change in Account Payables in earlier years was -$319,000 in FY2015, $122,000 in FY2014 (-5.4%), $129,000 in FY2013 and -$7.26 million in FY2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | - |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | -10.00 Mn |
| 3 | Canadian Pacific Kansas City | 75.56 Bn | 75.27 Bn | - | - |
| 4 | Norfolk Southern | 71.27 Bn | 65.91 Bn | - | - |
| 5 | United Parcel Service | 69.70 Bn | 46.62 Bn | - | 193.00 Mn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | - |
| 7 | Delta Air Lines | 55.32 Bn | 37.50 Bn | - | - |
| 8 | Old Dominion Freight Line | 37.44 Bn | 36.71 Bn | - | - |
| 9 | United Airlines Holdings | 36.52 Bn | -19.85 Bn | - | - |
| 10 | Seapeak | 2.21 Bn | 1.86 Bn | 152.57 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2012 | -3.60 Mn |
| Dec 31, 2011 | 25.45 Mn |
| Sep 30, 2011 | 153,000.00 |
| Jun 30, 2011 | 42,000.00 |
| Mar 31, 2011 | 1.40 Mn |
| Dec 31, 2010 | 19.09 Mn |
| Sep 30, 2010 | 1.67 Mn |
| Jun 30, 2010 | 197,000.00 |
| Mar 31, 2010 | -4.42 Mn |
| Dec 31, 2009 | 9.68 Mn |
| Sep 30, 2009 | -11.00 Mn |
| Jun 30, 2009 | 4.02 Mn |
| Mar 31, 2009 | 21.34 Mn |
API Access
Seapeak Change in Account 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=change-in-account-payables&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-account-payables", "ticker": "SEAL-PA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-account-payables&ticker=SEAL-PA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();