Sherwin Williams (SHW) Amortization - Intangibles (2016 - 2022)
Sherwin Williams (SHW) recorded Amortization - Intangibles of $79.3 million in Q4 2022, up 3.9% from $76.3 million a year earlier but down 2.5% from the prior quarter.
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Analysis
Sherwin Williams (SHW) Amortization - Intangibles (2016 - 2022) Analysis & Trends
For FY2022, Sherwin Williams reported Amortization - Intangibles of $317.1 million, up 2.5% from FY2021.
- Annual Amortization - Intangibles has a five-year compound annual growth rate of 8.9% (FY2017 to FY2022).
- Across earlier years, Amortization - Intangibles came in at $309.5 million in FY2021 (-1.2%), $313.4 million in FY2020 (+0.2%), $312.8 million in FY2019 (-1.7%) and $318.1 million in FY2018 (+53.8%).
- Quarterly Amortization - Intangibles has ranged from $73.89 million in Q2 2018 to $85.05 million in Q1 2018 over the past five years.
- On a year-over-year basis, Amortization - Intangibles has increased for three consecutive quarters, with growth averaging 0.6% over the last eight quarters.
- Peak year-over-year performance for Amortization - Intangibles in the last five years was growth of 155.5% in Q2 2018, against a decline of 10.1% in Q4 2018 at the low end.
- Per Business Quant, the preceding three quarters came in at $81.3 million (Q3 2022), $78.5 million (Q2 2022) and $78 million (Q1 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Linde | 233.95 Bn | 215.53 Bn | 4.43 Bn |
| 2 | Corning | 107.22 Bn | 99.79 Bn | 1.63 Bn |
| 3 | Sherwin Williams | 83.58 Bn | 82.63 Bn | 3.34 Bn |
| 4 | Air Products & Chemicals | 67.82 Bn | 63.00 Bn | 1.04 Bn |
| 5 | LyondellBasell Industries | 40.87 Bn | 30.38 Bn | 2.04 Bn |
| 6 | Nutrien | 33.14 Bn | 29.97 Bn | 3.25 Bn |
| 7 | Ppg Industries | 24.96 Bn | 17.62 Bn | 1.81 Bn |
| 8 | International Flavors & Fragrances | 23.51 Bn | 21.17 Bn | 853.00 Mn |
| 9 | Qnity Electronics | 23.12 Bn | 20.26 Bn | 666.00 Mn |
| 10 | Dow | 21.94 Bn | 5.43 Bn | 2.17 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 79.30 Mn |
| Sep 30, 2022 | 81.30 Mn |
| Jun 30, 2022 | 78.50 Mn |
| Mar 31, 2022 | 78.00 Mn |
| Dec 31, 2021 | 76.30 Mn |
| Sep 30, 2021 | 76.20 Mn |
| Jun 30, 2021 | 77.80 Mn |
| Mar 31, 2021 | 79.20 Mn |
| Dec 31, 2020 | 79.20 Mn |
| Sep 30, 2020 | 78.70 Mn |
| Jun 30, 2020 | 77.40 Mn |
| Mar 31, 2020 | 78.10 Mn |
| Dec 31, 2019 | 78.40 Mn |
| Sep 30, 2019 | 77.50 Mn |
| Jun 30, 2019 | 78.10 Mn |
| Mar 31, 2019 | 78.80 Mn |
| Dec 31, 2018 | 79.08 Mn |
| Sep 30, 2018 | 80.08 Mn |
| Jun 30, 2018 | 73.89 Mn |
| Mar 31, 2018 | 85.05 Mn |
API Access
Sherwin Williams 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=SHW&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-intangibles", "ticker": "SHW", "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=SHW&period=max&api_key=YOUR_API_KEY");
const data = await res.json();