Simpson Manufacturing (SSD) EBITDA (2009 - 2026)
Simpson Manufacturing (SSD) recorded EBITDA of $189.44 million in Q2 2026, up 17.6% from $161.05 million a year earlier and up 34.4% from the prior quarter.
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Analysis
Simpson Manufacturing (SSD) EBITDA (2009 - 2026) Analysis & Trends
On a TTM basis, Simpson Manufacturing's EBITDA came in at $579.3 million as of Jun 30, 2026, up 8.8% year-over-year; for FY2025, it was $548.02 million, up 6.3% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 13.5% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $515.37 million in FY2024 (-6.3%), $549.86 million in FY2023 (+5.8%), $519.96 million in FY2022 (+26.7%) and $410.27 million in FY2021 (+40.9%).
- The Q2 2026 figure is the highest quarterly EBITDA in data going back to Q3 2009.
- On a year-over-year basis, EBITDA rose in six of the last eight quarters, with growth averaging 5.5%.
- Peak year-over-year performance for EBITDA in the last five years was growth of 120.9% in Q4 2021, against a decline of 14.8% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $140.98 million (Q1 2026), $98.57 million (Q4 2025) and $150.31 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.51 Bn | 96.23 Bn | 2.26 Bn | 1.33 Bn |
| 2 | Johnson Controls International | 89.39 Bn | 87.12 Bn | 2.47 Bn | 1.15 Bn |
| 3 | Comfort Systems Usa | 49.46 Bn | 44.71 Bn | 844.23 Mn | 601.51 Mn |
| 4 | Carrier Global | 46.03 Bn | 40.33 Bn | 1.94 Bn | 1.14 Bn |
| 5 | Otis Worldwide | 27.59 Bn | 24.01 Bn | 1.14 Bn | 617.00 Mn |
| 6 | James Hardie Industries | 15.35 Bn | 14.42 Bn | 548.70 Mn | 386.50 Mn |
| 7 | Masco | 14.90 Bn | 12.76 Bn | 868.00 Mn | - |
| 8 | Carlisle Companies | 13.53 Bn | 9.87 Bn | 568.40 Mn | 401.20 Mn |
| 9 | Allegion | 13.39 Bn | 12.10 Bn | 517.50 Mn | 290.40 Mn |
| 10 | Simpson Manufacturing | 7.37 Bn | 5.89 Bn | 318.19 Mn | 189.44 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 189.44 Mn |
| Mar 31, 2026 | 140.98 Mn |
| Dec 31, 2025 | 98.57 Mn |
| Sep 30, 2025 | 150.31 Mn |
| Jun 30, 2025 | 161.05 Mn |
| Mar 31, 2025 | 121.56 Mn |
| Dec 31, 2024 | 102.09 Mn |
| Sep 30, 2024 | 147.84 Mn |
| Jun 30, 2024 | 152.91 Mn |
| Mar 31, 2024 | 117.14 Mn |
| Dec 31, 2023 | 92.53 Mn |
| Sep 30, 2023 | 159.16 Mn |
| Jun 30, 2023 | 165.02 Mn |
| Mar 31, 2023 | 137.50 Mn |
| Dec 31, 2022 | 97.68 Mn |
| Sep 30, 2022 | 140.78 Mn |
| Jun 30, 2022 | 156.43 Mn |
| Mar 31, 2022 | 141.10 Mn |
| Dec 31, 2021 | 106.35 Mn |
| Sep 30, 2021 | 111.06 Mn |
API Access
Simpson Manufacturing EBITDA 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=ebitda&ticker=SSD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=SSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();