GRUPO SIMEC, S.A.B. de C.V (SIM) Other Operating Expenses (2009 - 2025)
GRUPO SIMEC, S.A.B. de C.V's Other Operating Expenses was $26.58 million in FY2020, compared with -$7.09 million in FY2019.
Analysis
GRUPO SIMEC, S.A.B. de C.V (SIM) Other Operating Expenses (2009 - 2025) Analysis & Trends
From FY2009 onward, GRUPO SIMEC, S.A.B. de C.V has reported Other Operating Expenses for 11 years.
- The FY2020 figure marks the highest annual Other Operating Expenses in data going back to FY2009.
- Per Business Quant data, Other Operating Expenses in earlier years was -$7.09 million in FY2019, $760,604 in FY2018 (+108.1%), $365,442 in FY2017 and -$1.94 million in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - |
| 10 | GRUPO SIMEC, S.A.B. de C.V | 4.64 Bn | -4.34 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 3.04 Mn |
| Dec 31, 2024 | 10.32 Mn |
| Dec 31, 2023 | -3.59 Mn |
| Dec 31, 2022 | 3.30 Mn |
| Jun 30, 2021 | 2.89 Mn |
| Dec 31, 2019 | -7.06 Mn |
| Dec 31, 2018 | -252,658.64 |
| Dec 31, 2017 | 790,543.62 |
| Dec 31, 2016 | -9.55 Mn |
| Dec 31, 2015 | 179,015.60 |
| Dec 31, 2014 | 216,258.94 |
| Dec 31, 2013 | -5.22 Mn |
| Dec 31, 2012 | 772,866.30 |
| Mar 31, 2012 | 848,909.98 |
| Dec 31, 2011 | 35.69 Mn |
| Dec 31, 2010 | 18.82 Mn |
| Dec 31, 2009 | 38.68 Mn |
API Access
GRUPO SIMEC, S.A.B. de C.V Other Operating 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=other-operating-expenses&ticker=SIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "SIM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=SIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();