Murphy Oil (MUR) Amortization of Intangibles (2009 - 2026)
Murphy Oil (MUR) posted Amortization of Intangibles of $7.11 million for Q2 2019, down 26.0% from $9.61 million a year earlier and down 11.7% from the prior quarter.
Murphy Oil (MUR) Amortization of Intangibles (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2019, Amortization of Intangibles at Murphy Oil was $32.55 million, down 49.3% year-over-year; for FY2018, it came in at $40.18 million, down 35.0% from FY2017.
- Annual Amortization of Intangibles shows a five-year compound annual growth rate of -9.7% (FY2013 to FY2018).
- In prior years, Murphy Oil's Amortization of Intangibles was $61.78 million in FY2017 (+42.3%), $43.42 million in FY2016 (-42.4%), $75.31 million in FY2015 (+1.2%) and $74.44 million in FY2014 (+11.3%).
- The Q2 2019 figure stands as the lowest quarterly Amortization of Intangibles in data going back to Q1 2009.
- On a year-over-year basis, Amortization of Intangibles has declined in each of the last five quarters, with growth averaging 14.6% over the last eight quarters.
- The strongest year-over-year quarter for Amortization of Intangibles in the past five years was Q4 2017, with growth of 175.6%; the weakest was Q4 2018, with a decline of 58.7%.
- According to Business Quant data, Amortization of Intangibles for the three prior quarters was $8.05 million (Q1 2019), $8.63 million (Q4 2018) and $8.77 million (Q3 2018).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Amort. of Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn | - |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - | - |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn | - |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn | - |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - | 10.35 Mn |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn | - |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn | - |
| 8 | Canadian Natural Resources | 103.54 Bn | 97.44 Bn | 9.35 Bn | - |
| 9 | Phillips 66 | 103.32 Bn | 88.28 Bn | 10.69 Bn | - |
| 10 | Murphy Oil | 5.28 Bn | 3.71 Bn | - | 2.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.42 Mn |
| Jun 30, 2026 | 2.57 Mn |
| Mar 31, 2026 | 2.27 Mn |
| Dec 31, 2025 | 4.73 Mn |
| Sep 30, 2025 | 3.00 Mn |
| Jun 30, 2025 | 2.26 Mn |
| Mar 31, 2025 | 1.65 Mn |
| Dec 31, 2024 | 1.88 Mn |
| Sep 30, 2024 | 1.93 Mn |
| Jun 30, 2024 | 2.99 Mn |
| Mar 31, 2024 | 2.79 Mn |
| Dec 31, 2023 | 2.71 Mn |
| Sep 30, 2023 | 2.85 Mn |
| Jun 30, 2023 | 2.72 Mn |
| Mar 31, 2023 | 2.65 Mn |
| Dec 31, 2022 | 2.65 Mn |
| Sep 30, 2022 | 2.67 Mn |
| Jun 30, 2022 | 3.78 Mn |
| Mar 31, 2022 | 4.20 Mn |
| Dec 31, 2021 | 5.05 Mn |
Murphy Oil Amortization of Intangibles 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=amortizatization-of-intangibles&ticker=MUR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortizatization-of-intangibles", "ticker": "MUR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortizatization-of-intangibles&ticker=MUR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();