Simpson Manufacturing (SSD) Accumulated Expenses (2009 - 2026)
Simpson Manufacturing's Accumulated Expenses was $306.17 million in Q2 2026, up 20.2% from $254.8 million a year earlier and up 10.2% from the prior quarter.
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Analysis
Simpson Manufacturing (SSD) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Simpson Manufacturing came in at $275.33 million, up 13.4% from FY2024.
- Accumulated Expenses has now increased for ten consecutive years, with a five-year compound annual growth rate of 13.6% (FY2020 to FY2025).
- In earlier years, Accumulated Expenses was $242.88 million in FY2024 (+5.0%), $231.23 million in FY2023 (+1.3%), $228.22 million in FY2022 (+21.8%) and $187.39 million in FY2021 (+28.5%).
- The Q2 2026 figure marks the highest quarterly Accumulated Expenses in data going back to Q2 2009.
- Compared with a year earlier, Accumulated Expenses has increased for eight straight quarters, with growth averaging 11.6% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2022 (growth of 31.2%); the worst was Q2 2024 (a decline of 15.7%).
- Per Business Quant data, SSD's Accumulated Expenses in the three quarters before Q2 2026 was $277.79 million (Q1 2026), $275.33 million (Q4 2025) and $277.2 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 99.46 Bn | 94.20 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 90.06 Bn | 87.82 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 58.26 Bn | 53.51 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.22 Bn | 39.85 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 24.48 Bn | 21.09 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 14.69 Bn | 13.43 Bn | 548.70 Mn |
| 7 | Masco | 13.29 Bn | 11.40 Bn | 868.00 Mn |
| 8 | Allegion | 13.08 Bn | 11.79 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 12.82 Bn | 9.17 Bn | 568.40 Mn |
| 10 | Simpson Manufacturing | 7.01 Bn | 5.53 Bn | 318.19 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 306.17 Mn |
| Mar 31, 2026 | 277.79 Mn |
| Dec 31, 2025 | 275.33 Mn |
| Sep 30, 2025 | 277.20 Mn |
| Jun 30, 2025 | 254.80 Mn |
| Mar 31, 2025 | 239.51 Mn |
| Dec 31, 2024 | 242.88 Mn |
| Sep 30, 2024 | 245.13 Mn |
| Jun 30, 2024 | 233.16 Mn |
| Mar 31, 2024 | 226.94 Mn |
| Dec 31, 2023 | 231.23 Mn |
| Sep 30, 2023 | 222.23 Mn |
| Jun 30, 2023 | 276.60 Mn |
| Mar 31, 2023 | 212.86 Mn |
| Dec 31, 2022 | 228.22 Mn |
| Sep 30, 2022 | 209.22 Mn |
| Jun 30, 2022 | 225.93 Mn |
| Mar 31, 2022 | 207.96 Mn |
| Dec 31, 2021 | 187.39 Mn |
| Sep 30, 2021 | 183.07 Mn |
API Access
Simpson Manufacturing Accumulated Expenses 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=accumulated-expenses&ticker=SSD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=SSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();