Latham (SWIM) Intangibles (2020 - 2026)
Latham's Intangibles came in at $258.23 million for Q2 2026, down 8.5% from $282.31 million a year earlier and down 2.8% from the prior quarter.
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Analysis
Latham (SWIM) Intangibles (2020 - 2026) Analysis & Trends
At the end of FY2025, Latham's Intangibles was $268.07 million, down 8.5% from FY2024.
- Intangibles carries a five-year compound annual growth rate of -1.5% (FY2020 to FY2025).
- Going back by year, Intangibles was $292.91 million in FY2024 (+3.6%), $282.79 million in FY2023 (-8.5%), $309.22 million in FY2022 (-8.6%) and $338.31 million in FY2021 (+16.9%).
- The Q2 2026 figure represents the lowest quarterly Intangibles in data going back to Q4 2020.
- Year-over-year, Intangibles has declined for four consecutive quarters, with an average decline of 2.1% over the last eight quarters.
- The fastest year-over-year change in Intangibles over five years came in Q1 2022 (growth of 16.9%), and the weakest in Q1 2023 (a decline of 8.8%).
- Business Quant data shows SWIM's Intangibles at $265.54 million (Q1 2026), $268.07 million (Q4 2025) and $275.12 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 104.14 Bn | 98.86 Bn | 2.26 Bn | 3.52 Bn |
| 2 | Johnson Controls International | 91.59 Bn | 89.32 Bn | 2.47 Bn | 3.55 Bn |
| 3 | Comfort Systems Usa | 49.30 Bn | 44.56 Bn | 844.23 Mn | 534.58 Mn |
| 4 | Carrier Global | 46.68 Bn | 40.99 Bn | 1.94 Bn | 5.76 Bn |
| 5 | Otis Worldwide | 27.65 Bn | 24.06 Bn | 1.14 Bn | 387.00 Mn |
| 6 | James Hardie Industries | 15.30 Bn | 14.37 Bn | 548.70 Mn | 3.26 Bn |
| 7 | Masco | 14.84 Bn | 12.70 Bn | 868.00 Mn | 194.00 Mn |
| 8 | Carlisle Companies | 13.70 Bn | 10.04 Bn | 568.40 Mn | 1.36 Bn |
| 9 | Allegion | 13.58 Bn | 12.29 Bn | 517.50 Mn | 816.20 Mn |
| 10 | Latham | 743.63 Mn | 743.63 Mn | 70.08 Mn | 258.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 258.23 Mn |
| Mar 28, 2026 | 265.54 Mn |
| Dec 31, 2025 | 268.07 Mn |
| Sep 27, 2025 | 275.12 Mn |
| Jun 28, 2025 | 282.31 Mn |
| Mar 29, 2025 | 289.23 Mn |
| Dec 31, 2024 | 292.91 Mn |
| Sep 28, 2024 | 301.31 Mn |
| Jun 29, 2024 | 269.70 Mn |
| Mar 30, 2024 | 275.88 Mn |
| Dec 31, 2023 | 282.79 Mn |
| Sep 30, 2023 | 288.75 Mn |
| Jul 1, 2023 | 295.66 Mn |
| Apr 1, 2023 | 302.30 Mn |
| Dec 31, 2022 | 309.22 Mn |
| Oct 1, 2022 | 315.06 Mn |
| Jul 2, 2022 | 323.02 Mn |
| Apr 2, 2022 | 331.59 Mn |
| Dec 31, 2021 | 338.31 Mn |
| Oct 2, 2021 | 271.83 Mn |
API Access
Latham 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=intangibles&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=intangibles&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();