Sfl (SFL) Non-cash Items (2012 - 2017)
Sfl's Non-cash Items came in at -$3.35 million for the quarter ended Jun 30, 2026, compared with $2.64 million a year earlier.
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Analysis
Sfl (SFL) Non-cash Items (2012 - 2017) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Sfl reported Non-cash Items of -$41.46 million.
- The five-year range for quarterly Non-cash Items is -$53.32 million (the quarter ended Sep 30, 2023) to $83.47 million (the quarter ended Jun 30, 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Union Pacific | 170.80 Bn | 165.33 Bn | - |
| 2 | Csx | 89.17 Bn | 85.38 Bn | - |
| 3 | United Parcel Service | 83.81 Bn | 60.70 Bn | - |
| 4 | Canadian Pacific Kansas City | 77.31 Bn | 76.33 Bn | - |
| 5 | Norfolk Southern | 73.23 Bn | 67.87 Bn | - |
| 6 | Fedex | 70.82 Bn | 36.77 Bn | - |
| 7 | Delta Air Lines | 50.27 Bn | 32.46 Bn | - |
| 8 | Old Dominion Freight Line | 39.09 Bn | 38.36 Bn | - |
| 9 | United Airlines Holdings | 31.83 Bn | -24.55 Bn | - |
| 10 | Sfl | 1.60 Bn | -144.53 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2017 | 2.27 Mn |
| Jun 30, 2017 | 1.37 Mn |
| Mar 31, 2017 | 701,000.00 |
| Dec 31, 2016 | 9.01 Mn |
| Sep 30, 2016 | 283,000.00 |
| Mar 31, 2016 | 82,000.00 |
| Dec 31, 2015 | 2.41 Mn |
| Dec 31, 2014 | -305,000.00 |
| Sep 30, 2014 | -478,000.00 |
| Jun 30, 2014 | -315,000.00 |
| Mar 31, 2014 | 803,000.00 |
| Dec 31, 2013 | -847,000.00 |
| Sep 30, 2013 | 41,000.00 |
| Jun 30, 2013 | 45,000.00 |
| Mar 31, 2013 | 1.20 Mn |
| Dec 31, 2012 | -1.35 Mn |
| Sep 30, 2012 | -1.29 Mn |
| Jun 30, 2012 | -998,000.00 |
| Mar 31, 2012 | -1.06 Mn |
API Access
Sfl Non-cash Items 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=non-cash-items&ticker=SFL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-cash-items", "ticker": "SFL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=non-cash-items&ticker=SFL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();