Simpson Manufacturing (SSD) Cost of Revenue (2009 - 2026)
Simpson Manufacturing (SSD) reported Cost of Revenue of $346.55 million for Q3 2026, up 3.7% from $334.25 million a year earlier but down 1.8% from the prior quarter.
Simpson Manufacturing (SSD) Cost of Revenue (2009 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Simpson Manufacturing's Cost of Revenue came in at $1.33 billion, up 6.0% year-over-year; for FY2025, it was $1.26 billion, up 4.5% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 12.8% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $1.21 billion in FY2024 (+3.1%), $1.17 billion in FY2023 (-0.2%), $1.17 billion in FY2022 (+43.6%) and $818.19 million in FY2021 (+18.3%).
- Five-year quarterly Cost of Revenue spans a low of $220.29 million in Q4 2021 and a high of $352.88 million in Q2 2026.
- Year over year, Cost of Revenue has now increased in each of the last 12 quarters, with growth averaging 5.2% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was Q2 2022 (growth of 56.1%); the low point was Q2 2023 (a decline of 7.1%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $352.88 million (Q2 2026), $322.07 million (Q1 2026) and $305.49 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 92.44 Bn | 87.05 Bn | 2.38 Bn | 4.37 Bn |
| 2 | Johnson Controls International | 86.14 Bn | 83.87 Bn | 2.47 Bn | 4.14 Bn |
| 3 | Carrier Global | 44.19 Bn | 38.56 Bn | 1.90 Bn | 4.36 Bn |
| 4 | Comfort Systems Usa | 38.72 Bn | 32.67 Bn | 934.48 Mn | 2.83 Bn |
| 5 | Otis Worldwide | 30.31 Bn | 26.70 Bn | 1.16 Bn | 2.76 Bn |
| 6 | James Hardie Industries | 17.44 Bn | 16.37 Bn | 562.40 Mn | 865.80 Mn |
| 7 | Masco | 16.89 Bn | 14.69 Bn | 720.00 Mn | 1.25 Bn |
| 8 | Allegion | 16.17 Bn | 14.80 Bn | 548.20 Mn | 624.40 Mn |
| 9 | Carlisle Companies | 15.61 Bn | 12.51 Bn | 494.90 Mn | 968.50 Mn |
| 10 | Simpson Manufacturing | 8.30 Bn | 6.63 Bn | 291.58 Mn | 346.55 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 346.55 Mn |
| Jun 30, 2026 | 352.88 Mn |
| Mar 31, 2026 | 322.07 Mn |
| Dec 31, 2025 | 305.49 Mn |
| Sep 30, 2025 | 334.25 Mn |
| Jun 30, 2025 | 338.16 Mn |
| Mar 31, 2025 | 288.33 Mn |
| Dec 31, 2024 | 291.70 Mn |
| Sep 30, 2024 | 312.10 Mn |
| Jun 30, 2024 | 318.43 Mn |
| Mar 31, 2024 | 286.02 Mn |
| Dec 31, 2023 | 283.37 Mn |
| Sep 30, 2023 | 297.17 Mn |
| Jun 30, 2023 | 310.11 Mn |
| Mar 31, 2023 | 281.55 Mn |
| Dec 31, 2022 | 274.97 Mn |
| Sep 30, 2022 | 309.14 Mn |
| Jun 30, 2022 | 333.90 Mn |
| Mar 31, 2022 | 256.79 Mn |
| Dec 31, 2021 | 220.29 Mn |
Simpson Manufacturing Cost of 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=cost-of-revenue&ticker=SSD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=SSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();