StealthGas (GASS) Change in Accured Expenses (2009 - 2019)
StealthGas' Change in Accured Expenses was -$802,426 in FY2025, compared with -$758,558 in FY2024.
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Analysis
StealthGas (GASS) Change in Accured Expenses (2009 - 2019) Analysis & Trends
From FY2009 onward, StealthGas has reported Change in Accured Expenses for 17 years.
- The FY2025 figure marks the lowest annual Change in Accured Expenses since FY2020.
- Per Business Quant data, Change in Accured Expenses in earlier years was -$758,558 in FY2024, -$100,515 in FY2023, $1.78 million in FY2022 (+218.7%) and $557,086 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 | StealthGas | 347.31 Mn | -120.99 Mn | 36.13 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2019 | 61,340.00 |
| Jun 30, 2014 | -96,090.00 |
| Mar 31, 2014 | 495,496.00 |
| Dec 31, 2013 | -578,998.00 |
| Sep 30, 2013 | -707,737.00 |
| Jun 30, 2013 | 1.31 Mn |
| Mar 31, 2013 | 2,183.00 |
| Dec 31, 2012 | -1.65 Mn |
| Sep 30, 2012 | -729,840.00 |
| Jun 30, 2012 | -935,877.00 |
| Mar 31, 2012 | 536,797.00 |
| Dec 31, 2011 | -684,432.00 |
| Sep 30, 2011 | 722,000.00 |
| Dec 31, 2010 | -661,728.00 |
| Dec 31, 2009 | 505,261.00 |
| Sep 30, 2009 | 1.30 Mn |
API Access
StealthGas 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=GASS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "GASS", "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=GASS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();