Simpson Manufacturing (SSD) Cash & Equivalents (2009 - 2026)
Simpson Manufacturing (SSD) posted Cash & Equivalents of $450.53 million for Q2 2026, up 136.6% from $190.4 million a year earlier and up 32.1% from the prior quarter.
Simpson Manufacturing (SSD) Cash & Equivalents (2009 - 2026) Analysis & Trends
At the end of FY2025, Simpson Manufacturing's Cash & Equivalents came in at $384.14 million, up 60.5% from FY2024.
- Annual Cash & Equivalents shows a five-year compound annual growth rate of 6.9% (FY2020 to FY2025).
- In prior years, Simpson Manufacturing's Cash & Equivalents was $239.37 million in FY2024 (-44.3%), $429.82 million in FY2023 (+42.9%), $300.74 million in FY2022 (-0.1%) and $301.16 million in FY2021 (+9.7%).
- The Q2 2026 figure stands as the highest quarterly Cash & Equivalents since Q3 2023.
- On a year-over-year basis, Cash & Equivalents has increased in each of the last three quarters, with growth averaging 15.1% over the last eight quarters.
- The strongest year-over-year quarter for Cash & Equivalents in the past five years was Q1 2022, with growth of 282.4%; the weakest was Q1 2023, with a decline of 74.3%.
- According to Business Quant data, Cash & Equivalents for the three prior quarters was $341.01 million (Q1 2026), $384.14 million (Q4 2025) and $297.3 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.08 Bn | 95.82 Bn | 2.26 Bn | 1.32 Bn |
| 2 | Johnson Controls International | 91.92 Bn | 89.68 Bn | 2.47 Bn | 641.00 Mn |
| 3 | Comfort Systems Usa | 59.34 Bn | 54.59 Bn | 844.23 Mn | 1.85 Bn |
| 4 | Carrier Global | 45.52 Bn | 40.15 Bn | 1.94 Bn | 1.34 Bn |
| 5 | Otis Worldwide | 24.55 Bn | 21.15 Bn | 1.14 Bn | 813.00 Mn |
| 6 | James Hardie Industries | 14.62 Bn | 13.36 Bn | 548.70 Mn | 289.90 Mn |
| 7 | Masco | 13.47 Bn | 11.57 Bn | 868.00 Mn | 548.00 Mn |
| 8 | Allegion | 13.13 Bn | 11.84 Bn | 517.50 Mn | 320.60 Mn |
| 9 | Carlisle Companies | 12.95 Bn | 9.29 Bn | 568.40 Mn | 665.30 Mn |
| 10 | Simpson Manufacturing | 7.08 Bn | 5.61 Bn | 318.19 Mn | 450.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 450.53 Mn |
| Mar 31, 2026 | 341.01 Mn |
| Dec 31, 2025 | 384.14 Mn |
| Sep 30, 2025 | 297.30 Mn |
| Jun 30, 2025 | 190.40 Mn |
| Mar 31, 2025 | 150.29 Mn |
| Dec 31, 2024 | 239.37 Mn |
| Sep 30, 2024 | 339.43 Mn |
| Jun 30, 2024 | 354.85 Mn |
| Mar 31, 2024 | 369.12 Mn |
| Dec 31, 2023 | 429.82 Mn |
| Sep 30, 2023 | 571.01 Mn |
| Jun 30, 2023 | 407.98 Mn |
| Mar 31, 2023 | 252.54 Mn |
| Dec 31, 2022 | 300.74 Mn |
| Sep 30, 2022 | 309.26 Mn |
| Jun 30, 2022 | 246.13 Mn |
| Mar 31, 2022 | 984.37 Mn |
| Dec 31, 2021 | 301.16 Mn |
| Sep 30, 2021 | 294.18 Mn |
Simpson Manufacturing Cash & Equivalents 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=cash-and-equivalents&ticker=SSD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();