Dawson Geophysical (DWSN) Depreciation & Amortization - Total (2014 - 2016)
Dawson Geophysical's Depreciation & Amortization - Total was $9.8 million in FY2022.
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Analysis
Dawson Geophysical (DWSN) Depreciation & Amortization - Total (2014 - 2016) Analysis & Trends
From FY2013 onward, Dawson Geophysical has reported Depreciation & Amortization - Total for 5 years.
- The FY2022 figure marks the highest annual Depreciation & Amortization - Total in data going back to FY2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Slb | 72.31 Bn | 69.42 Bn | 1.40 Bn | - |
| 2 | Baker Hughes | 54.50 Bn | 17.77 Bn | 1.58 Bn | - |
| 3 | TechnipFMC | 26.69 Bn | 22.84 Bn | 684.70 Mn | - |
| 4 | Halliburton | 26.49 Bn | 18.25 Bn | 804.00 Mn | - |
| 5 | Nov | 6.70 Bn | 1.49 Bn | 521.00 Mn | - |
| 6 | Noble | 6.66 Bn | 4.59 Bn | 239.27 Mn | - |
| 7 | Transocean | 5.85 Bn | 3.56 Bn | 358.00 Mn | - |
| 8 | Weatherford International | 5.65 Bn | 1.58 Bn | 333.00 Mn | - |
| 9 | Valaris | 5.44 Bn | 3.06 Bn | 123.70 Mn | 44.60 Mn |
| 10 | Dawson Geophysical | 86.65 Mn | 68.42 Mn | 2.61 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2016 | 10.32 Mn |
| Sep 30, 2016 | 10.59 Mn |
| Jun 30, 2016 | 11.33 Mn |
| Mar 31, 2016 | 12.05 Mn |
| Dec 31, 2015 | 11.50 Mn |
| Sep 30, 2015 | 11.97 Mn |
| Jun 30, 2015 | 12.38 Mn |
| Mar 31, 2015 | 11.22 Mn |
| Dec 31, 2014 | 9.74 Mn |
| Sep 30, 2014 | 9.86 Mn |
| Jun 30, 2014 | 10.25 Mn |
| Mar 31, 2014 | 10.18 Mn |
API Access
Dawson Geophysical 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=DWSN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "ticker": "DWSN", "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=DWSN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();