Gerdau (GGB) Dividends payables (2009 - 2021)
Gerdau's Dividends payables was $101.75 million in Q3 2021.
Analysis
Gerdau (GGB) Dividends payables (2009 - 2021) Analysis & Trends
At the end of FY2020, Dividends payables at Gerdau came in at $98.32 million, up 674.6% from FY2019.
- Dividends payables shows a three-year compound annual growth rate of 24.3% (FY2017 to FY2020).
- In earlier years, Dividends payables was $12.69 million in FY2019 (-71.0%), $43.78 million in FY2018 (-14.5%) and $51.23 million in FY2017.
- The Q3 2021 figure marks the highest quarterly Dividends payables since Q4 2009.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dividends payables (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 170.99 Bn | 133.79 Bn | - | - |
| 2 | Southern Copper | 143.29 Bn | 118.03 Bn | 3.10 Bn | - |
| 3 | Rio Tinto | 132.69 Bn | 93.51 Bn | - | - |
| 4 | Newmont | 112.68 Bn | 77.82 Bn | 4.22 Bn | - |
| 5 | Freeport-Mcmoran | 88.70 Bn | 72.74 Bn | 2.19 Bn | 218.00 Mn |
| 6 | Agnico Eagle Mines | 84.05 Bn | 70.99 Bn | 2.15 Bn | - |
| 7 | Barrick Mining | 63.43 Bn | 38.63 Bn | 2.90 Bn | - |
| 8 | Nucor | 62.48 Bn | 51.86 Bn | 2.03 Bn | - |
| 9 | ArcelorMittal | 46.31 Bn | 25.34 Bn | - | - |
| 10 | Gerdau | 9.31 Bn | 4.64 Bn | 651.76 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2021 | 101.75 Mn |
| Dec 31, 2020 | 98.32 Mn |
| Dec 31, 2019 | 12.69 Mn |
| Dec 31, 2018 | 43.78 Mn |
| Dec 31, 2017 | 51.23 Mn |
| Dec 31, 2014 | 44.96 Mn |
| Dec 31, 2013 | 50.63 Mn |
| Dec 31, 2012 | 23.17 Mn |
| Dec 31, 2011 | 73.12 Mn |
| Dec 31, 2010 | 54.33 Mn |
| Sep 30, 2010 | 25.27 Mn |
| Jun 30, 2010 | 9.05 Mn |
| Mar 31, 2010 | 68.37 Mn |
| Dec 31, 2009 | 209.87 Mn |
| Sep 30, 2009 | 23.03 Mn |
| Jun 30, 2009 | 18.79 Mn |
| Mar 31, 2009 | 5.01 Mn |
API Access
Gerdau Dividends payables 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=dividends-payables&ticker=GGB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "dividends-payables", "ticker": "GGB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=dividends-payables&ticker=GGB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();