Latham (SWIM) Goodwill (2020 - 2026)
Latham (SWIM) recorded Goodwill of $161.52 million in Q2 2026, up 4.2% from $155 million a year earlier and up 0.2% from the prior quarter.
Analysis
Latham (SWIM) Goodwill (2020 - 2026) Analysis & Trends
At the end of FY2025, Latham reported Goodwill of $155.2 million, up 1.7% from FY2024.
- Annual Goodwill has a five-year compound annual growth rate of 6.0% (FY2020 to FY2025).
- Across earlier years, Goodwill came in at $152.63 million in FY2024 (+16.2%), $131.36 million in FY2023 (unchanged), $131.38 million in FY2022 (+1.9%) and $128.87 million in FY2021 (+11.3%).
- The Q2 2026 figure is the highest quarterly Goodwill in data going back to Q4 2020.
- On a year-over-year basis, Goodwill has increased for eight consecutive quarters, with growth averaging 10.1% over the last eight quarters.
- Peak year-over-year performance for Goodwill in the last five years was growth of 18.1% in Q2 2025, against a decline of 0.2% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $161.14 million (Q1 2026), $155.2 million (Q4 2025) and $155.02 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 101.77 Bn | 96.49 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 89.79 Bn | 87.52 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 49.37 Bn | 44.62 Bn | 844.23 Mn |
| 4 | Carrier Global | 46.49 Bn | 40.80 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 27.54 Bn | 23.96 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 15.37 Bn | 14.44 Bn | 548.70 Mn |
| 7 | Masco | 14.88 Bn | 12.74 Bn | 868.00 Mn |
| 8 | Carlisle Companies | 13.65 Bn | 9.99 Bn | 568.40 Mn |
| 9 | Allegion | 13.45 Bn | 12.16 Bn | 517.50 Mn |
| 10 | Latham | 741.86 Mn | 741.86 Mn | 70.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 161.52 Mn |
| Mar 28, 2026 | 161.14 Mn |
| Dec 31, 2025 | 155.20 Mn |
| Sep 27, 2025 | 155.02 Mn |
| Jun 28, 2025 | 155.00 Mn |
| Mar 29, 2025 | 154.70 Mn |
| Dec 31, 2024 | 152.63 Mn |
| Sep 28, 2024 | 153.04 Mn |
| Jun 29, 2024 | 131.20 Mn |
| Mar 30, 2024 | 131.00 Mn |
| Dec 31, 2023 | 131.36 Mn |
| Sep 30, 2023 | 130.90 Mn |
| Jul 1, 2023 | 131.20 Mn |
| Apr 1, 2023 | 131.20 Mn |
| Dec 31, 2022 | 131.38 Mn |
| Oct 1, 2022 | 128.10 Mn |
| Jul 2, 2022 | 128.63 Mn |
| Apr 2, 2022 | 129.60 Mn |
| Dec 31, 2021 | 128.87 Mn |
| Oct 2, 2021 | 115.20 Mn |
API Access
Latham Goodwill 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&ticker=SWIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "goodwill", "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&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();