Latham (SWIM) Enterprise Value (2021 - 2026)
Latham's Enterprise Value came in at $753.4 million for Q2 2026, up 1.8% from $739.86 million a year earlier and up 21.3% from the prior quarter.
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Analysis
Latham (SWIM) Enterprise Value (2021 - 2026) Analysis & Trends
For FY2025, Latham's Enterprise Value was $741.47 million, down 1.0% from FY2024.
- Enterprise Value carries a four-year compound annual growth rate of -29.2% (FY2021 to FY2025).
- Going back by year, Enterprise Value was $749.33 million in FY2024 (+275.9%), $199.35 million in FY2023 (-40.8%), $336.6 million in FY2022 (-88.6%) and $2.95 billion in FY2021.
- The five-year range for quarterly Enterprise Value is $199.35 million (Q4 2023) to $2.95 billion (Q4 2021).
- Year-over-year, Enterprise Value increased in six of the last eight quarters, with growth averaging 91.4%.
- The fastest year-over-year change in Enterprise Value over five years came in Q4 2024 (growth of 275.9%), and the weakest in Q4 2022 (a decline of 88.6%).
- Business Quant data shows SWIM's Enterprise Value at $621.09 million (Q1 2026), $741.47 million (Q4 2025) and $806.73 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 | 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 | 753.40 Mn |
| Mar 28, 2026 | 621.09 Mn |
| Dec 31, 2025 | 741.47 Mn |
| Sep 27, 2025 | 806.73 Mn |
| Jun 28, 2025 | 739.86 Mn |
| Mar 29, 2025 | 724.25 Mn |
| Dec 31, 2024 | 749.33 Mn |
| Sep 28, 2024 | 719.23 Mn |
| Jun 29, 2024 | 259.43 Mn |
| Mar 30, 2024 | 413.13 Mn |
| Dec 31, 2023 | 199.35 Mn |
| Sep 30, 2023 | 243.20 Mn |
| Jul 1, 2023 | 382.38 Mn |
| Apr 1, 2023 | 273.00 Mn |
| Dec 31, 2022 | 336.60 Mn |
| Oct 1, 2022 | 389.84 Mn |
| Jul 2, 2022 | 774.10 Mn |
| Apr 2, 2022 | 1.61 Bn |
| Dec 31, 2021 | 2.95 Bn |
| Oct 2, 2021 | 1.75 Bn |
API Access
Latham Enterprise Value 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=enterprise-value&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();