Philip Morris International (PM) Amortization - Intangibles (2009 - 2022)
Philip Morris International's Amortization - Intangibles came in at $36 million for Q2 2022, up 89.5% from $19 million a year earlier but down 5.3% from the prior quarter.
Philip Morris International (PM) Amortization - Intangibles (2009 - 2022) Analysis & Trends
Over the trailing twelve months to Jun 30, 2022, Philip Morris International reported Amortization - Intangibles of $133 million, up 82.2% year-over-year; for FY2021, it came in at $96 million, up 31.5% from FY2020.
- Amortization - Intangibles carries a five-year compound annual growth rate of 5.3% (FY2016 to FY2021).
- Going back by year, Amortization - Intangibles was $73 million in FY2020 (+10.6%), $66 million in FY2019 (-19.5%), $82 million in FY2018 (-6.8%) and $88 million in FY2017 (+18.9%).
- The five-year range for quarterly Amortization - Intangibles is $15 million (Q3 2019) to $41 million (Q4 2021).
- Year-over-year, Amortization - Intangibles has increased for three consecutive quarters, with growth averaging 45.1% over the last eight quarters.
- The fastest year-over-year change in Amortization - Intangibles over five years came in Q4 2021 (growth of 127.8%), and the weakest in Q3 2019 (a decline of 25.0%).
- Business Quant data shows PM's Amortization - Intangibles at $38 million (Q1 2022), $41 million (Q4 2021) and $18 million (Q3 2021) in the three quarters before Q2 2022.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Philip Morris International | 297.66 Bn | 279.23 Bn | 7.66 Bn |
| 2 | British American Tobacco p.l.c | 125.80 Bn | 104.94 Bn | - |
| 3 | Altria | 112.42 Bn | 98.63 Bn | 3.82 Bn |
| 4 | Curaleaf Holdings | 2.73 Bn | 2.33 Bn | 169.91 Mn |
| 5 | RLX Technology | 2.65 Bn | -916.64 Mn | 52.74 Mn |
| 6 | Trulieve Cannabis | 2.10 Bn | 712.57 Mn | 162.29 Mn |
| 7 | Green Thumb Industries | 1.33 Bn | 184.54 Mn | 137.87 Mn |
| 8 | Cronos | 1.22 Bn | -2.00 Bn | 28.45 Mn |
| 9 | Turning Point Brands | 1.18 Bn | 308.67 Mn | 93.70 Mn |
| 10 | Verano Holdings | 808.33 Mn | 481.94 Mn | 99.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 36.00 Mn |
| Mar 31, 2022 | 38.00 Mn |
| Dec 31, 2021 | 41.00 Mn |
| Sep 30, 2021 | 18.00 Mn |
| Jun 30, 2021 | 19.00 Mn |
| Mar 31, 2021 | 18.00 Mn |
| Dec 31, 2020 | 18.00 Mn |
| Sep 30, 2020 | 18.00 Mn |
| Jun 30, 2020 | 19.00 Mn |
| Mar 31, 2020 | 18.00 Mn |
| Dec 31, 2019 | 16.00 Mn |
| Sep 30, 2019 | 15.00 Mn |
| Jun 30, 2019 | 16.00 Mn |
| Mar 31, 2019 | 19.00 Mn |
| Dec 31, 2018 | 19.00 Mn |
| Sep 30, 2018 | 20.00 Mn |
| Jun 30, 2018 | 21.00 Mn |
| Mar 31, 2018 | 22.00 Mn |
| Dec 31, 2017 | 23.00 Mn |
| Sep 30, 2017 | 21.00 Mn |
Philip Morris International Amortization - 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=amortization-intangibles&ticker=PM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "PM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=amortization-intangibles&ticker=PM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();