Simpson Manufacturing (SSD) Goodwill & Intangibles (2009 - 2026)
Simpson Manufacturing (SSD) posted Goodwill & Intangibles of $912.69 million for Q2 2026, down 4.9% from $959.99 million a year earlier and down 1.0% from the prior quarter.
Simpson Manufacturing (SSD) Goodwill & Intangibles (2009 - 2026) Analysis & Trends
At the end of FY2025, Simpson Manufacturing's Goodwill & Intangibles came in at $946.25 million, up 6.6% from FY2024.
- Annual Goodwill & Intangibles has increased for four consecutive years, with a five-year compound annual growth rate of 42.2% (FY2020 to FY2025).
- In prior years, Simpson Manufacturing's Goodwill & Intangibles was $887.43 million in FY2024 (+2.3%), $867.89 million in FY2023 (+1.1%), $858.59 million in FY2022 (+435.6%) and $160.29 million in FY2021 (-1.4%).
- The Q2 2026 figure stands as the lowest quarterly Goodwill & Intangibles since Q1 2025.
- On a year-over-year basis, Goodwill & Intangibles increased in seven of the last eight quarters, with growth averaging 4.9%.
- The strongest year-over-year quarter for Goodwill & Intangibles in the past five years was Q1 2023, with growth of 446.3%; the weakest was Q2 2026, with a decline of 4.9%.
- According to Business Quant data, Goodwill & Intangibles for the three prior quarters was $921.75 million (Q1 2026), $946.25 million (Q4 2025) and $950.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 101.08 Bn | 95.82 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 91.92 Bn | 89.68 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 59.34 Bn | 54.59 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.52 Bn | 40.15 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 24.55 Bn | 21.15 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.62 Bn | 13.36 Bn | 548.70 Mn |
| 7 | Masco | 13.47 Bn | 11.57 Bn | 868.00 Mn |
| 8 | Allegion | 13.13 Bn | 11.84 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.95 Bn | 9.29 Bn | 568.40 Mn |
| 10 | Simpson Manufacturing | 7.08 Bn | 5.61 Bn | 318.19 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 912.69 Mn |
| Mar 31, 2026 | 921.75 Mn |
| Dec 31, 2025 | 946.25 Mn |
| Sep 30, 2025 | 950.35 Mn |
| Jun 30, 2025 | 959.99 Mn |
| Mar 31, 2025 | 908.70 Mn |
| Dec 31, 2024 | 887.43 Mn |
| Sep 30, 2024 | 946.46 Mn |
| Jun 30, 2024 | 850.49 Mn |
| Mar 31, 2024 | 845.29 Mn |
| Dec 31, 2023 | 867.89 Mn |
| Sep 30, 2023 | 839.86 Mn |
| Jun 30, 2023 | 864.71 Mn |
| Mar 31, 2023 | 866.87 Mn |
| Dec 31, 2022 | 858.59 Mn |
| Sep 30, 2022 | 798.52 Mn |
| Jun 30, 2022 | 850.04 Mn |
| Mar 31, 2022 | 158.67 Mn |
| Dec 31, 2021 | 160.29 Mn |
| Sep 30, 2021 | 155.57 Mn |
Simpson Manufacturing Goodwill & 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=goodwill-and-intangibles&ticker=SSD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "ticker": "SSD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=goodwill-and-intangibles&ticker=SSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();