Pan American Silver (PAAS) Asset Writedowns and Impairment (2013 - 2023)
Pan American Silver's Asset Writedowns and Impairment came in at $36,200 for the quarter ended Dec 31, 2023.
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Analysis
Pan American Silver (PAAS) Asset Writedowns and Impairment (2013 - 2023) Analysis & Trends
For the year ended Dec 31, 2023, Pan American Silver's Asset Writedowns and Impairment was $78.6 million, down 20.7% from the prior year.
- Asset Writedowns and Impairment carries a five-year compound annual growth rate of 23.1% (years ended Dec 2018 to Dec 2023).
- Going back by year, Asset Writedowns and Impairment was $99.1 million in the year ended Dec 31, 2022 and $40.05 million in the year ended Dec 31, 2019 (+44.1%).
- The figure for the quarter ended Dec 31, 2023 represents the lowest quarterly Asset Writedowns and Impairment since the quarter ended Dec 31, 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - |
| 2 | Southern Copper | 171.36 Bn | 150.22 Bn | 2.90 Bn |
| 3 | Newmont | 121.76 Bn | 89.94 Bn | 4.03 Bn |
| 4 | Ternium | 113.51 Bn | 78.56 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 103.45 Bn | 99.60 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.92 Bn | 91.92 Bn | 2.43 Bn |
| 7 | Barrick Mining | 67.42 Bn | 52.16 Bn | 2.90 Bn |
| 8 | Nucor | 54.54 Bn | 45.08 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 49.09 Bn | 30.12 Bn | - |
| 10 | Pan American Silver | 19.20 Bn | 14.06 Bn | 457,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2023 | 36,200.00 |
| Jun 30, 2023 | 42.40 Mn |
| Jun 30, 2022 | 99.10 Mn |
| Dec 31, 2017 | -61.55 Mn |
| Dec 31, 2015 | 121.51 Mn |
| Sep 30, 2015 | 28.76 Mn |
| Dec 31, 2014 | 596.26 Mn |
| Dec 31, 2013 | -8.41 Mn |
| Jun 30, 2013 | 185.19 Mn |
| Mar 31, 2013 | 18.26 Mn |
API Access
Pan American Silver Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=PAAS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "ticker": "PAAS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=asset-writedowns-and-impairment&ticker=PAAS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();