Simpson Manufacturing (SSD) Receivables (2009 - 2026)
Simpson Manufacturing (SSD) reported Receivables of $438.05 million for Q2 2026, up 5.3% from $415.93 million a year earlier and up 9.5% from the prior quarter.
Simpson Manufacturing (SSD) Receivables (2009 - 2026) Analysis & Trends
At the end of FY2025, Simpson Manufacturing posted Receivables of $302.69 million, up 6.4% from FY2024.
- Receivables has increased for six consecutive years, with a five-year compound annual growth rate of 12.9% (FY2020 to FY2025).
- By year, Receivables came in at $284.39 million in FY2024 (+0.1%), $283.98 million in FY2023 (+5.5%), $269.12 million in FY2022 (+16.5%) and $231.02 million in FY2021 (+39.9%).
- The Q2 2026 figure ranks as the highest quarterly Receivables in data going back to Q2 2009.
- Year over year, Receivables has now increased in each of the last eight quarters, with growth averaging 6.3% over the last eight quarters.
- The high point for year-over-year Receivables in five years was Q2 2022 (growth of 50.1%); the low point was Q2 2024 (a decline of 2.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $400.08 million (Q1 2026), $302.69 million (Q4 2025) and $395.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.16 Bn | 95.88 Bn | 2.26 Bn | 4.23 Bn |
| 2 | Johnson Controls International | 89.17 Bn | 86.90 Bn | 2.47 Bn | 9.55 Bn |
| 3 | Comfort Systems Usa | 49.27 Bn | 44.52 Bn | 844.23 Mn | - |
| 4 | Carrier Global | 45.73 Bn | 40.03 Bn | 1.94 Bn | 3.70 Bn |
| 5 | Otis Worldwide | 27.53 Bn | 23.95 Bn | 1.14 Bn | 4.81 Bn |
| 6 | James Hardie Industries | 15.16 Bn | 14.23 Bn | 548.70 Mn | 499.60 Mn |
| 7 | Masco | 14.82 Bn | 12.68 Bn | 868.00 Mn | 1.34 Bn |
| 8 | Carlisle Companies | 13.49 Bn | 9.84 Bn | 568.40 Mn | 955.90 Mn |
| 9 | Allegion | 13.31 Bn | 12.03 Bn | 517.50 Mn | 559.70 Mn |
| 10 | Simpson Manufacturing | 7.36 Bn | 5.89 Bn | 318.19 Mn | 438.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 438.05 Mn |
| Mar 31, 2026 | 400.08 Mn |
| Dec 31, 2025 | 302.69 Mn |
| Sep 30, 2025 | 395.35 Mn |
| Jun 30, 2025 | 415.93 Mn |
| Mar 31, 2025 | 373.20 Mn |
| Dec 31, 2024 | 284.39 Mn |
| Sep 30, 2024 | 360.35 Mn |
| Jun 30, 2024 | 377.58 Mn |
| Mar 31, 2024 | 343.41 Mn |
| Dec 31, 2023 | 283.98 Mn |
| Sep 30, 2023 | 351.16 Mn |
| Jun 30, 2023 | 387.92 Mn |
| Mar 31, 2023 | 339.67 Mn |
| Dec 31, 2022 | 269.12 Mn |
| Sep 30, 2022 | 334.45 Mn |
| Jun 30, 2022 | 375.13 Mn |
| Mar 31, 2022 | 320.43 Mn |
| Dec 31, 2021 | 231.02 Mn |
| Sep 30, 2021 | 236.54 Mn |
Simpson Manufacturing Receivables 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=receivables&ticker=SSD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=SSD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();