Latham (SWIM) Revenue (2020 - 2026)
Latham (SWIM) reported Revenue of $197.47 million for Q2 2026, up 14.4% from $172.64 million a year earlier and up 68.3% from the prior quarter.
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Analysis
Latham (SWIM) Revenue (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Latham's Revenue came in at $576.64 million, up 10.5% year-over-year; for FY2025, it was $545.91 million, up 7.4% from FY2024.
- Revenue has a five-year compound annual growth rate of 6.2% (FY2020 to FY2025).
- By year, Revenue came in at $508.52 million in FY2024 (-10.2%), $566.49 million in FY2023 (-18.6%), $695.74 million in FY2022 (+10.4%) and $630.46 million in FY2021 (+56.3%).
- The Q2 2026 figure ranks as the highest quarterly Revenue since Q2 2022.
- Year over year, Revenue has now increased in each of the last six quarters, with growth averaging 5.0% over the last eight quarters.
- The high point for year-over-year Revenue in five years was Q1 2022 (growth of 28.8%); the low point was Q1 2023 (a decline of 28.1%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $117.32 million (Q1 2026), $99.95 million (Q4 2025) and $161.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.77 Bn | 96.49 Bn | 2.26 Bn | 6.35 Bn |
| 2 | Johnson Controls International | 89.79 Bn | 87.52 Bn | 2.47 Bn | 6.61 Bn |
| 3 | Comfort Systems Usa | 49.37 Bn | 44.62 Bn | 844.23 Mn | 3.27 Bn |
| 4 | Carrier Global | 46.49 Bn | 40.80 Bn | 1.94 Bn | 6.35 Bn |
| 5 | Otis Worldwide | 27.54 Bn | 23.96 Bn | 1.14 Bn | 3.86 Bn |
| 6 | James Hardie Industries | 15.37 Bn | 14.44 Bn | 548.70 Mn | 1.47 Bn |
| 7 | Masco | 14.88 Bn | 12.74 Bn | 868.00 Mn | 1.99 Bn |
| 8 | Carlisle Companies | 13.65 Bn | 9.99 Bn | 568.40 Mn | 1.57 Bn |
| 9 | Allegion | 13.45 Bn | 12.16 Bn | 517.50 Mn | 1.15 Bn |
| 10 | Latham | 741.86 Mn | 741.86 Mn | 70.08 Mn | 197.47 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 197.47 Mn |
| Mar 28, 2026 | 117.32 Mn |
| Dec 31, 2025 | 99.95 Mn |
| Sep 27, 2025 | 161.90 Mn |
| Jun 28, 2025 | 172.64 Mn |
| Mar 29, 2025 | 111.42 Mn |
| Dec 31, 2024 | 87.27 Mn |
| Sep 28, 2024 | 150.50 Mn |
| Jun 29, 2024 | 160.12 Mn |
| Mar 30, 2024 | 110.63 Mn |
| Dec 31, 2023 | 90.87 Mn |
| Sep 30, 2023 | 160.78 Mn |
| Jul 1, 2023 | 177.13 Mn |
| Apr 1, 2023 | 137.72 Mn |
| Dec 31, 2022 | 107.92 Mn |
| Oct 1, 2022 | 189.40 Mn |
| Jul 2, 2022 | 206.80 Mn |
| Apr 2, 2022 | 191.61 Mn |
| Dec 31, 2021 | 138.86 Mn |
| Oct 2, 2021 | 161.96 Mn |
API Access
Latham Revenue 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=revenue&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();