Safe Bulkers (SB) Change in Accrued Expenses (2012 - 2021)
Safe Bulkers (SB) posted Change in Accured Expenses of -$4.07 million for the quarter ended Dec 31, 2025.
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Analysis
Safe Bulkers (SB) Change in Accrued Expenses (2012 - 2021) Analysis & Trends
Since the quarter ended Dec 31, 2012, Safe Bulkers has reported Change in Accured Expenses for 11 quarters.
- In prior years, Safe Bulkers' Change in Accured Expenses was $4.67 million in the year ended Dec 31, 2024, $160,000 in the year ended Dec 31, 2023 (-96.6%), $4.67 million in the year ended Dec 31, 2022 and -$829,000 in the year ended Dec 31, 2021.
- The figure for the quarter ended Dec 31, 2025 stands as the highest quarterly Change in Accured Expenses in data going back to the quarter ended Dec 31, 2012.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Union Pacific | 172.47 Bn | 164.72 Bn | - | -30.00 Mn |
| 2 | United Parcel Service | 92.24 Bn | 69.07 Bn | - | 247.00 Mn |
| 3 | Csx | 90.81 Bn | 86.03 Bn | - | - |
| 4 | Canadian Pacific Kansas City | 81.61 Bn | 80.64 Bn | - | - |
| 5 | Fedex | 72.98 Bn | 39.17 Bn | - | 1.21 Bn |
| 6 | Norfolk Southern | 71.87 Bn | 66.34 Bn | - | - |
| 7 | Delta Air Lines | 57.23 Bn | 39.41 Bn | - | - |
| 8 | United Airlines Holdings | 36.65 Bn | -21.05 Bn | - | - |
| 9 | Old Dominion Freight Line | 34.12 Bn | 32.96 Bn | - | - |
| 10 | Safe Bulkers | 729.51 Mn | 252.36 Mn | 62.00 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2021 | -55,000.00 |
| Sep 30, 2021 | -1.46 Mn |
| Dec 31, 2020 | -239,000.00 |
| Sep 30, 2020 | -11,000.00 |
| Dec 31, 2016 | 1.66 Mn |
| Sep 30, 2016 | -569,000.00 |
| Dec 31, 2015 | -71,000.00 |
| Sep 30, 2015 | 1.16 Mn |
| Dec 31, 2013 | 170,000.00 |
| Dec 31, 2012 | 1.03 Mn |
API Access
Safe Bulkers Change in Accrued 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=SB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "ticker": "SB", "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=SB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();