GRUPO SIMEC, S.A.B. de C.V (SIM) Operating Expenses (2009 - 2025)
GRUPO SIMEC, S.A.B. de C.V (SIM) recorded Operating Expenses of -$147.61 million in FY2025, compared with -$142.98 million in FY2024.
Analysis
GRUPO SIMEC, S.A.B. de C.V (SIM) Operating Expenses (2009 - 2025) Analysis & Trends
Starting with FY2009, GRUPO SIMEC, S.A.B. de C.V's Operating Expenses history includes 17 years.
- The FY2025 figure is the lowest annual Operating Expenses in data going back to FY2009.
- Per Business Quant data, SIM's Operating Expenses was -$142.98 million in FY2024, -$132.07 million in FY2023, -$124.87 million in FY2022 and -$98.52 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 167.30 Bn | 146.09 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Rio Tinto | 143.04 Bn | 103.54 Bn | - | - |
| 4 | Newmont | 124.35 Bn | 92.35 Bn | 4.03 Bn | 3.02 Bn |
| 5 | Freeport-Mcmoran | 99.09 Bn | 83.13 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 93.47 Bn | 83.11 Bn | 2.43 Bn | 119.48 Mn |
| 7 | Barrick Mining | 69.01 Bn | 44.20 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 59.68 Bn | 49.06 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 48.25 Bn | 27.28 Bn | - | -780.00 Mn |
| 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 | 30.99 Mn |
| Dec 31, 2024 | 38.30 Mn |
| Dec 31, 2023 | 41.72 Mn |
| Dec 31, 2022 | 37.21 Mn |
| Jun 30, 2021 | 25.41 Mn |
| Dec 31, 2019 | 24.67 Mn |
| Dec 31, 2018 | 13.09 Mn |
| Dec 31, 2017 | 14.44 Mn |
| Dec 31, 2016 | 17.38 Mn |
| Dec 31, 2015 | 16.29 Mn |
| Dec 31, 2014 | 26.46 Mn |
| Dec 31, 2013 | 17.90 Mn |
| Dec 31, 2012 | 24.42 Mn |
| Mar 31, 2012 | 24.39 Mn |
| 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 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=operating-expenses&ticker=SIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=SIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();