Latham (SWIM) Amortization - Intangibles (2020 - 2026)
Latham's Amortization - Intangibles came in at $7.4 million for Q2 2026, up 1.4% from $7.3 million a year earlier and up 2.8% from the prior quarter.
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Analysis
Latham (SWIM) Amortization - Intangibles (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Latham reported Amortization - Intangibles of $29.05 million, up 1.0% year-over-year; for FY2025, it came in at $28.94 million, up 6.8% from FY2024.
- Amortization - Intangibles carries a five-year compound annual growth rate of 10.8% (FY2020 to FY2025).
- Going back by year, Amortization - Intangibles was $27.1 million in FY2024 (+2.2%), $26.52 million in FY2023 (-6.0%), $28.2 million in FY2022 (+24.8%) and $22.6 million in FY2021 (+30.3%).
- The Q2 2026 figure represents the highest quarterly Amortization - Intangibles in data going back to Q1 2020.
- Year-over-year, Amortization - Intangibles increased in seven of the last eight quarters, with growth averaging 5.7%.
- The fastest year-over-year change in Amortization - Intangibles over five years came in Q3 2021 (growth of 35.9%), and the weakest in Q1 2023 (a decline of 7.9%).
- Business Quant data shows SWIM's Amortization - Intangibles at $7.2 million (Q1 2026), $7.24 million (Q4 2025) and $7.21 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 104.14 Bn | 98.86 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 91.59 Bn | 89.32 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 49.30 Bn | 44.56 Bn | 844.23 Mn |
| 4 | Carrier Global | 46.68 Bn | 40.99 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 27.65 Bn | 24.06 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 15.30 Bn | 14.37 Bn | 548.70 Mn |
| 7 | Masco | 14.84 Bn | 12.70 Bn | 868.00 Mn |
| 8 | Carlisle Companies | 13.70 Bn | 10.04 Bn | 568.40 Mn |
| 9 | Allegion | 13.58 Bn | 12.29 Bn | 517.50 Mn |
| 10 | Latham | 743.63 Mn | 743.63 Mn | 70.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 7.40 Mn |
| Mar 28, 2026 | 7.20 Mn |
| Dec 31, 2025 | 7.24 Mn |
| Sep 27, 2025 | 7.21 Mn |
| Jun 28, 2025 | 7.30 Mn |
| Mar 29, 2025 | 7.19 Mn |
| Dec 31, 2024 | 7.28 Mn |
| Sep 28, 2024 | 7.00 Mn |
| Jun 29, 2024 | 6.43 Mn |
| Mar 30, 2024 | 6.41 Mn |
| Dec 31, 2023 | 6.62 Mn |
| Sep 30, 2023 | 6.64 Mn |
| Jul 1, 2023 | 6.64 Mn |
| Apr 1, 2023 | 6.63 Mn |
| Dec 31, 2022 | 6.70 Mn |
| Oct 1, 2022 | 7.20 Mn |
| Jul 2, 2022 | 7.20 Mn |
| Apr 2, 2022 | 7.20 Mn |
| Dec 31, 2021 | 6.00 Mn |
| Oct 2, 2021 | 5.50 Mn |
API Access
Latham Amortization - 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=amortization-intangibles&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "amortization-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=amortization-intangibles&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();