Mesabi Trust (MSB) Selling, General & Administrative (2011 - 2018)
Mesabi Trust (MSB) posted Selling, General & Administrative of $309,120 for fiscal Q4 2018 (quarter ended Jan 31, 2018), up 15.5% from $267,608 a year earlier and up 36.0% from the prior quarter.
Mesabi Trust (MSB) Selling, General & Administrative (2011 - 2018) Analysis & Trends
For FY2018 (ended Jan 31, 2018), Mesabi Trust's Selling, General & Administrative came in at $1.07 million, down 4.6% from FY2017.
- Annual Selling, General & Administrative has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 38.9% (FY2013 to FY2018).
- In prior fiscal years, Mesabi Trust's Selling, General & Administrative was $1.12 million in FY2017 (-3.4%), $1.16 million in FY2016 (-11.4%), $1.31 million in FY2015 (+443.6%) and $241,398 in FY2014 (+16.4%).
- The fiscal Q4 2018 figure stands as the highest quarterly Selling, General & Administrative since fiscal Q1 2017.
- On a year-over-year basis, Selling, General & Administrative increased in four of the last eight quarters, with an average decline of 1.3%.
- The strongest year-over-year quarter for Selling, General & Administrative in the past five years was fiscal Q2 2015, with growth of 111.4%; the weakest was fiscal Q2 2016, with a decline of 43.3%.
- According to Business Quant data, Selling, General & Administrative for the three prior fiscal quarters was $227,330 (Q3 2018), $240,493 (Q2 2018) and $295,047 (Q1 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 166.32 Bn | 145.19 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Newmont | 120.84 Bn | 89.01 Bn | 4.03 Bn | 74.00 Mn |
| 4 | Ternium | 110.94 Bn | 75.99 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 99.52 Bn | 95.67 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 90.25 Bn | 90.25 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 67.10 Bn | 51.84 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 53.52 Bn | 44.06 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 49.13 Bn | 30.16 Bn | - | - |
| 10 | Mesabi Trust | 252.56 Mn | 168.54 Mn | -95,013.00 | - |
Historic Data
| Date | Value |
|---|---|
| Jan 31, 2018 | 309,120.00 |
| Oct 31, 2017 | 227,330.00 |
| Jul 31, 2017 | 240,493.00 |
| Apr 30, 2017 | 295,047.00 |
| Jan 31, 2017 | 267,608.00 |
| Oct 31, 2016 | 234,494.00 |
| Jul 31, 2016 | 189,389.00 |
| Apr 30, 2016 | 431,931.00 |
| Jan 31, 2016 | 313,708.00 |
| Oct 31, 2015 | 219,498.00 |
| Jul 31, 2015 | 251,717.00 |
| Apr 30, 2015 | 377,744.00 |
| Jan 31, 2015 | 259,080.00 |
| Oct 31, 2014 | 243,152.00 |
| Jul 31, 2014 | 443,818.00 |
| Apr 30, 2014 | 366,217.00 |
| Jan 31, 2014 | 241,398.00 |
| Oct 31, 2013 | 211,113.00 |
| Jul 31, 2013 | 209,935.00 |
| Apr 30, 2013 | 326,418.00 |
Mesabi Trust Selling, General & Administrative 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=selling-general-and-administrative&ticker=MSB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "MSB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=selling-general-and-administrative&ticker=MSB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();