Latham (SWIM) Assets (2020 - 2026)
Latham (SWIM) reported Assets of $860.37 million for Q2 2026, up 4.7% from $822.14 million a year earlier and up 0.5% from the prior quarter.
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Analysis
Latham (SWIM) Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Latham posted Assets of $823.22 million, up 3.7% from FY2024.
- Assets has a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- By year, Assets came in at $794.21 million in FY2024 (-4.9%), $835 million in FY2023 (-4.0%), $869.68 million in FY2022 (+9.5%) and $794.48 million in FY2021 (+22.9%).
- The Q2 2026 figure ranks as the highest quarterly Assets since Q3 2023.
- Year over year, Assets has now increased in each of the last three quarters, with growth averaging 0.7% over the last eight quarters.
- The high point for year-over-year Assets in five years was Q1 2022 (growth of 35.5%); the low point was Q1 2024 (a decline of 13.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $856.41 million (Q1 2026), $823.22 million (Q4 2025) and $844.42 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.77 Bn | 96.49 Bn | 2.26 Bn | 23.93 Bn |
| 2 | Johnson Controls International | 89.79 Bn | 87.52 Bn | 2.47 Bn | 38.76 Bn |
| 3 | Comfort Systems Usa | 49.37 Bn | 44.62 Bn | 844.23 Mn | 8.49 Bn |
| 4 | Carrier Global | 46.49 Bn | 40.80 Bn | 1.94 Bn | 37.37 Bn |
| 5 | Otis Worldwide | 27.54 Bn | 23.96 Bn | 1.14 Bn | 11.16 Bn |
| 6 | James Hardie Industries | 15.37 Bn | 14.44 Bn | 548.70 Mn | 13.49 Bn |
| 7 | Masco | 14.88 Bn | 12.74 Bn | 868.00 Mn | 5.40 Bn |
| 8 | Carlisle Companies | 13.65 Bn | 9.99 Bn | 568.40 Mn | 6.23 Bn |
| 9 | Allegion | 13.45 Bn | 12.16 Bn | 517.50 Mn | 5.36 Bn |
| 10 | Latham | 741.86 Mn | 741.86 Mn | 70.08 Mn | 860.37 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 860.37 Mn |
| Mar 28, 2026 | 856.41 Mn |
| Dec 31, 2025 | 823.22 Mn |
| Sep 27, 2025 | 844.42 Mn |
| Jun 28, 2025 | 822.14 Mn |
| Mar 29, 2025 | 824.59 Mn |
| Dec 31, 2024 | 794.21 Mn |
| Sep 28, 2024 | 853.41 Mn |
| Jun 29, 2024 | 830.03 Mn |
| Mar 30, 2024 | 808.61 Mn |
| Dec 31, 2023 | 835.00 Mn |
| Sep 30, 2023 | 865.49 Mn |
| Jul 1, 2023 | 871.14 Mn |
| Apr 1, 2023 | 929.65 Mn |
| Dec 31, 2022 | 869.68 Mn |
| Oct 1, 2022 | 920.50 Mn |
| Jul 2, 2022 | 909.22 Mn |
| Apr 2, 2022 | 914.85 Mn |
| Dec 31, 2021 | 794.48 Mn |
| Oct 2, 2021 | 733.75 Mn |
API Access
Latham Assets 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=assets&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();