Nordic American Tankers (NAT) Change in Accured Expenses (2009 - 2018)
Nordic American Tankers (NAT) posted Change in Accured Expenses of -$2.59 million for FY2025, compared with $3.97 million in FY2024.
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Analysis
Nordic American Tankers (NAT) Change in Accured Expenses (2009 - 2018) Analysis & Trends
Since FY2009, Nordic American Tankers has reported Change in Accured Expenses for 16 years.
- Annual Change in Accured Expenses has run from a low of -$8.48 million in FY2023 to a high of $11.74 million in FY2021 over five years.
- Business Quant data shows NAT's Change in Accured Expenses at $3.97 million in FY2024, -$8.48 million in FY2023, $230,000 in FY2022 (-98.0%) and $11.74 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 165.28 Bn | 159.81 Bn | - | 187.00 Mn |
| 2 | Csx | 87.86 Bn | 84.08 Bn | - | - |
| 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 | - | 147.00 Mn |
| 6 | Fedex | 68.71 Bn | 34.65 Bn | - | 1.21 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 | Nordic American Tankers | 1.78 Bn | 1.45 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | -2.87 Mn |
| Sep 30, 2018 | -3.34 Mn |
| Dec 31, 2017 | 234,000.00 |
| Dec 31, 2016 | -52,000.00 |
| Sep 30, 2016 | 1.74 Mn |
| Dec 31, 2013 | 4.35 Mn |
| Sep 30, 2013 | 2.28 Mn |
| Dec 31, 2012 | 2.06 Mn |
| Sep 30, 2012 | 381,000.00 |
| Dec 31, 2011 | 3.89 Mn |
| Dec 31, 2010 | -1.74 Mn |
| Mar 31, 2009 | 10,000.00 |
API Access
Nordic American Tankers Change in Accured 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=change-in-accured-expenses&ticker=NAT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "NAT", "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-accured-expenses&ticker=NAT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();