Latham (SWIM) Goodwill & Intangibles (2020 - 2026)
Latham's Goodwill & Intangibles came in at $419.74 million for Q2 2026, down 4.0% from $437.31 million a year earlier and down 1.6% from the prior quarter.
Latham (SWIM) Goodwill & Intangibles (2020 - 2026) Analysis & Trends
At the end of FY2025, Latham's Goodwill & Intangibles was $423.27 million, down 5.0% from FY2024.
- Goodwill & Intangibles carries a five-year compound annual growth rate of 0.9% (FY2020 to FY2025).
- Going back by year, Goodwill & Intangibles was $445.54 million in FY2024 (+7.6%), $414.16 million in FY2023 (-6.0%), $440.6 million in FY2022 (-5.7%) and $467.18 million in FY2021 (+15.3%).
- The Q2 2026 figure represents the lowest quarterly Goodwill & Intangibles since Q2 2024.
- Year-over-year, Goodwill & Intangibles has declined for four consecutive quarters, with growth averaging 2.0% over the last eight quarters.
- The fastest year-over-year change in Goodwill & Intangibles over five years came in Q1 2022 (growth of 15.5%), and the weakest in Q1 2024 (a decline of 6.1%).
- Business Quant data shows SWIM's Goodwill & Intangibles at $426.69 million (Q1 2026), $423.27 million (Q4 2025) and $430.14 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 98.85 Bn | 93.57 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 87.75 Bn | 85.48 Bn | 2.47 Bn |
| 3 | Carrier Global | 46.52 Bn | 40.83 Bn | 1.94 Bn |
| 4 | Comfort Systems Usa | 40.91 Bn | 34.87 Bn | 934.48 Mn |
| 5 | Otis Worldwide | 28.79 Bn | 25.21 Bn | 1.14 Bn |
| 6 | Allegion | 15.43 Bn | 14.14 Bn | 517.50 Mn |
| 7 | James Hardie Industries | 15.32 Bn | 14.39 Bn | 548.70 Mn |
| 8 | Masco | 15.21 Bn | 13.07 Bn | 868.00 Mn |
| 9 | Carlisle Companies | 13.81 Bn | 10.16 Bn | 568.40 Mn |
| 10 | Latham | 775.35 Mn | 775.35 Mn | 70.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 419.74 Mn |
| Mar 28, 2026 | 426.69 Mn |
| Dec 31, 2025 | 423.27 Mn |
| Sep 27, 2025 | 430.14 Mn |
| Jun 28, 2025 | 437.31 Mn |
| Mar 29, 2025 | 443.93 Mn |
| Dec 31, 2024 | 445.54 Mn |
| Sep 28, 2024 | 454.35 Mn |
| Jun 29, 2024 | 400.90 Mn |
| Mar 30, 2024 | 406.88 Mn |
| Dec 31, 2023 | 414.16 Mn |
| Sep 30, 2023 | 419.65 Mn |
| Jul 1, 2023 | 426.86 Mn |
| Apr 1, 2023 | 433.50 Mn |
| Dec 31, 2022 | 440.60 Mn |
| Oct 1, 2022 | 443.16 Mn |
| Jul 2, 2022 | 451.65 Mn |
| Apr 2, 2022 | 461.19 Mn |
| Dec 31, 2021 | 467.18 Mn |
| Oct 2, 2021 | 387.03 Mn |
Latham Goodwill & Intangibles 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=goodwill-and-intangibles&ticker=SWIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill-and-intangibles", "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=goodwill-and-intangibles&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();