Simpson Manufacturing (SSD) Revenue (2009 - 2026)
Simpson Manufacturing (SSD) posted Revenue of $671.08 million for Q2 2026, up 6.3% from $631.06 million a year earlier and up 14.1% from the prior quarter.
Simpson Manufacturing (SSD) Revenue (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Revenue at Simpson Manufacturing was $2.42 billion, up 6.5% year-over-year; for FY2025, it came in at $2.33 billion, up 4.5% from FY2024.
- Annual Revenue has increased for 16 consecutive years, with a five-year compound annual growth rate of 13.0% (FY2020 to FY2025).
- In prior years, Simpson Manufacturing's Revenue was $2.23 billion in FY2024 (+0.8%), $2.21 billion in FY2023 (+4.6%), $2.12 billion in FY2022 (+34.5%) and $1.57 billion in FY2021 (+24.1%).
- The Q2 2026 figure stands as the highest quarterly Revenue in data going back to Q2 2009.
- On a year-over-year basis, Revenue has increased in each of the last eight quarters, with growth averaging 4.7% over the last eight quarters.
- The strongest year-over-year quarter for Revenue in the past five years was Q2 2022, with growth of 44.6%; the weakest was Q1 2024, with a decline of 0.7%.
- According to Business Quant data, Revenue for the three prior quarters was $587.96 million (Q1 2026), $539.35 million (Q4 2025) and $623.51 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn | 6.35 Bn |
| 2 | Johnson Controls International | 90.21 Bn | 87.98 Bn | 2.47 Bn | 6.61 Bn |
| 3 | Comfort Systems Usa | 58.39 Bn | 53.64 Bn | 844.23 Mn | 3.27 Bn |
| 4 | Carrier Global | 46.05 Bn | 40.68 Bn | 1.94 Bn | 6.35 Bn |
| 5 | Otis Worldwide | 25.26 Bn | 21.87 Bn | 1.14 Bn | 3.86 Bn |
| 6 | James Hardie Industries | 14.74 Bn | 13.47 Bn | 548.70 Mn | 1.47 Bn |
| 7 | Masco | 13.48 Bn | 11.59 Bn | 868.00 Mn | 1.99 Bn |
| 8 | Allegion | 13.22 Bn | 11.93 Bn | 517.50 Mn | 1.15 Bn |
| 9 | Carlisle Companies | 12.99 Bn | 9.34 Bn | 568.40 Mn | 1.57 Bn |
| 10 | Simpson Manufacturing | 7.15 Bn | 5.68 Bn | 318.19 Mn | 671.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 671.08 Mn |
| Mar 31, 2026 | 587.96 Mn |
| Dec 31, 2025 | 539.35 Mn |
| Sep 30, 2025 | 623.51 Mn |
| Jun 30, 2025 | 631.06 Mn |
| Mar 31, 2025 | 538.90 Mn |
| Dec 31, 2024 | 517.43 Mn |
| Sep 30, 2024 | 587.15 Mn |
| Jun 30, 2024 | 596.98 Mn |
| Mar 31, 2024 | 530.58 Mn |
| Dec 31, 2023 | 501.71 Mn |
| Sep 30, 2023 | 580.08 Mn |
| Jun 30, 2023 | 597.58 Mn |
| Mar 31, 2023 | 534.43 Mn |
| Dec 31, 2022 | 475.62 Mn |
| Sep 30, 2022 | 553.66 Mn |
| Jun 30, 2022 | 593.23 Mn |
| Mar 31, 2022 | 493.57 Mn |
| Dec 31, 2021 | 418.56 Mn |
| Sep 30, 2021 | 396.74 Mn |
Simpson Manufacturing Revenue 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=revenue&ticker=SSD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();