Latham (SWIM) Common Equity (2020 - 2026)
Latham (SWIM) posted Common Equity of $411.43 million for Q2 2026, up 3.3% from $398.43 million a year earlier and up 3.7% from the prior quarter.
Analysis
Latham (SWIM) Common Equity (2020 - 2026) Analysis & Trends
At the end of FY2025, Latham's Common Equity came in at $405.86 million, up 4.8% from FY2024.
- Annual Common Equity shows a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- In prior years, Latham's Common Equity was $387.22 million in FY2024 (-3.0%), $399.2 million in FY2023 (+4.3%), $382.79 million in FY2022 (+8.2%) and $353.65 million in FY2021 (+25.6%).
- The Q2 2026 figure stands as the highest quarterly Common Equity since Q3 2024.
- On a year-over-year basis, Common Equity has increased in each of the last three quarters, with growth averaging 1.0% over the last eight quarters.
- The strongest year-over-year quarter for Common Equity in the past five years was Q1 2022, with growth of 229.3%; the weakest was Q4 2024, with a decline of 3.0%.
- According to Business Quant data, Common Equity for the three prior quarters was $396.7 million (Q1 2026), $405.86 million (Q4 2025) and $408.36 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Common Equity (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.29 Bn | 96.01 Bn | 2.26 Bn | 8.65 Bn |
| 2 | Johnson Controls International | 89.27 Bn | 87.00 Bn | 2.47 Bn | 13.52 Bn |
| 3 | Comfort Systems Usa | 49.21 Bn | 44.46 Bn | 844.23 Mn | 3.22 Bn |
| 4 | Carrier Global | 45.88 Bn | 40.19 Bn | 1.94 Bn | 13.47 Bn |
| 5 | Otis Worldwide | 27.52 Bn | 23.94 Bn | 1.14 Bn | -5.75 Bn |
| 6 | James Hardie Industries | 15.20 Bn | 14.26 Bn | 548.70 Mn | 6.54 Bn |
| 7 | Masco | 14.85 Bn | 12.70 Bn | 868.00 Mn | -365.00 Mn |
| 8 | Carlisle Companies | 13.51 Bn | 9.86 Bn | 568.40 Mn | 1.62 Bn |
| 9 | Allegion | 13.33 Bn | 12.05 Bn | 517.50 Mn | 2.12 Bn |
| 10 | Latham | 739.52 Mn | 739.52 Mn | 70.08 Mn | 411.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 411.43 Mn |
| Mar 28, 2026 | 396.70 Mn |
| Dec 31, 2025 | 405.86 Mn |
| Sep 27, 2025 | 408.36 Mn |
| Jun 28, 2025 | 398.43 Mn |
| Mar 29, 2025 | 381.14 Mn |
| Dec 31, 2024 | 387.22 Mn |
| Sep 28, 2024 | 416.65 Mn |
| Jun 29, 2024 | 408.13 Mn |
| Mar 30, 2024 | 391.77 Mn |
| Dec 31, 2023 | 399.20 Mn |
| Sep 30, 2023 | 392.70 Mn |
| Jul 1, 2023 | 386.20 Mn |
| Apr 1, 2023 | 375.05 Mn |
| Dec 31, 2022 | 382.79 Mn |
| Oct 1, 2022 | 398.04 Mn |
| Jul 2, 2022 | 381.91 Mn |
| Apr 2, 2022 | 380.10 Mn |
| Dec 31, 2021 | 353.65 Mn |
| Oct 2, 2021 | 335.50 Mn |
API Access
Latham Common Equity 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=common-equity&ticker=SWIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "common-equity", "ticker": "SWIM", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=common-equity&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();