Kaiser Aluminum (KALU) Depreciation & Amortization - Total (2010 - 2020)
Kaiser Aluminum's Depreciation & Amortization - Total was $12.5 million in Q1 2020, up 11.6% from $11.2 million a year earlier and up 3.3% from the prior quarter.
Kaiser Aluminum (KALU) Depreciation & Amortization - Total (2010 - 2020) Analysis & Trends
On a trailing twelve-month basis, Kaiser Aluminum's Depreciation & Amortization - Total was $47.6 million through Mar 31, 2020, up 10.2% year-over-year; for FY2019, it was $46.3 million, up 10.0% from FY2018.
- Depreciation & Amortization - Total has now increased for ten consecutive years, with a five-year compound annual growth rate of 9.4% (FY2014 to FY2019).
- In earlier years, Depreciation & Amortization - Total was $42.1 million in FY2018 (+9.9%), $38.3 million in FY2017 (+11.0%), $34.5 million in FY2016 (+12.0%) and $30.8 million in FY2015 (+4.4%).
- The Q1 2020 figure marks the highest quarterly Depreciation & Amortization - Total in data going back to Q4 2010.
- Compared with a year earlier, Depreciation & Amortization - Total has increased for 33 straight quarters, with growth averaging 10.2% over the last eight quarters.
- Across the past five years, year-over-year growth in Depreciation & Amortization - Total ran from 1.3% in Q3 2015 to 15.4% in Q4 2016.
- Per Business Quant data, KALU's Depreciation & Amortization - Total in the three quarters before Q1 2020 was $12.1 million (Q4 2019), $11.6 million (Q3 2019) and $11.4 million (Q2 2019).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (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 | - | -780.00 Mn |
| 10 | Kaiser Aluminum | 2.49 Bn | 2.37 Bn | 199.00 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2020 | 12.50 Mn |
| Dec 31, 2019 | 12.10 Mn |
| Sep 30, 2019 | 11.60 Mn |
| Jun 30, 2019 | 11.40 Mn |
| Mar 31, 2019 | 11.20 Mn |
| Dec 31, 2018 | 10.80 Mn |
| Sep 30, 2018 | 10.60 Mn |
| Jun 30, 2018 | 10.60 Mn |
| Mar 31, 2018 | 10.10 Mn |
| Dec 31, 2017 | 10.00 Mn |
| Sep 30, 2017 | 9.90 Mn |
| Jun 30, 2017 | 9.20 Mn |
| Mar 31, 2017 | 9.20 Mn |
| Dec 31, 2016 | 9.00 Mn |
| Sep 30, 2016 | 8.60 Mn |
| Jun 30, 2016 | 8.60 Mn |
| Mar 31, 2016 | 8.30 Mn |
| Dec 31, 2015 | 7.80 Mn |
| Sep 30, 2015 | 7.70 Mn |
| Jun 30, 2015 | 7.70 Mn |
Kaiser Aluminum Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=KALU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "ticker": "KALU", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=depreciation-and-amortization-total&ticker=KALU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();