Simpson Manufacturing (SSD) Other Operating Expenses (2009 - 2026)
Simpson Manufacturing (SSD) recorded Other Operating Expenses of $70.66 million in Q2 2026, down 8.5% from $77.2 million a year earlier and down 2.6% from the prior quarter.
Simpson Manufacturing (SSD) Other Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Simpson Manufacturing's Other Operating Expenses came in at $296.34 million as of Jun 30, 2026, down 0.3% year-over-year; for FY2025, it was $300.18 million, up 3.9% from FY2024.
- Annual Other Operating Expenses has increased for seven straight years, with a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- Across earlier years, Other Operating Expenses came in at $288.93 million in FY2024 (+1.3%), $285.31 million in FY2023 (+29.5%), $220.39 million in FY2022 (+13.4%) and $194.39 million in FY2021 (+19.0%).
- The Q2 2026 figure is the lowest quarterly Other Operating Expenses since Q2 2023.
- On a year-over-year basis, Other Operating Expenses rose in four of the last eight quarters, with growth averaging 0.4%.
- Peak year-over-year performance for Other Operating Expenses in the last five years was growth of 48.6% in Q1 2023, against a decline of 8.5% in Q2 2026 at the low end.
- Per Business Quant, the preceding three quarters came in at $72.53 million (Q1 2026), $76.55 million (Q4 2025) and $76.61 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 88.43 Bn | 83.04 Bn | 2.38 Bn |
| 2 | Johnson Controls International | 81.95 Bn | 79.68 Bn | 2.47 Bn |
| 3 | Carrier Global | 43.09 Bn | 37.47 Bn | 1.90 Bn |
| 4 | Comfort Systems Usa | 35.64 Bn | 29.60 Bn | 934.48 Mn |
| 5 | Otis Worldwide | 30.11 Bn | 26.50 Bn | 1.16 Bn |
| 6 | James Hardie Industries | 16.21 Bn | 15.14 Bn | 562.40 Mn |
| 7 | Masco | 16.11 Bn | 13.92 Bn | 720.00 Mn |
| 8 | Allegion | 15.72 Bn | 14.35 Bn | 548.20 Mn |
| 9 | Carlisle Companies | 14.80 Bn | 11.71 Bn | 494.90 Mn |
| 10 | Simpson Manufacturing | 8.00 Bn | 6.33 Bn | 291.58 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 54.79 Mn |
| Jun 30, 2026 | 52.66 Mn |
| Mar 31, 2026 | 53.90 Mn |
| Dec 31, 2025 | 55.46 Mn |
| Sep 30, 2025 | 55.81 Mn |
| Jun 30, 2025 | 56.43 Mn |
| Mar 31, 2025 | 54.04 Mn |
| Dec 31, 2024 | 51.96 Mn |
| Sep 30, 2024 | 51.64 Mn |
| Jun 30, 2024 | 52.90 Mn |
| Mar 31, 2024 | 52.45 Mn |
| Dec 31, 2023 | 51.94 Mn |
| Sep 30, 2023 | 51.61 Mn |
| Jun 30, 2023 | 48.58 Mn |
| Mar 31, 2023 | 47.23 Mn |
| Dec 31, 2022 | 42.27 Mn |
| Sep 30, 2022 | 40.67 Mn |
| Jun 30, 2022 | 39.21 Mn |
| Mar 31, 2022 | 29.89 Mn |
| Dec 31, 2021 | 35.95 Mn |
Simpson Manufacturing Other Operating 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=other-operating-expenses&ticker=SSD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-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=other-operating-expenses&ticker=SSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();