Latham (SWIM) Gross Profit (2020 - 2026)
Latham's Gross Profit came in at $70.08 million for Q2 2026, up 9.6% from $63.96 million a year earlier and up 88.6% from the prior quarter.
Latham (SWIM) Gross Profit (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Latham reported Gross Profit of $192.48 million, up 15.3% year-over-year; for FY2025, it was $182.09 million, up 18.4% from FY2024.
- Gross Profit carries a five-year compound annual growth rate of 5.0% (FY2020 to FY2025).
- Going back by year, Gross Profit was $153.74 million in FY2024 (+0.5%), $152.94 million in FY2023 (-29.3%), $216.47 million in FY2022 (+6.0%) and $204.16 million in FY2021 (+43.0%).
- The Q2 2026 figure represents the highest quarterly Gross Profit since Q1 2022.
- Year-over-year, Gross Profit has increased for nine consecutive quarters, with growth averaging 12.6% over the last eight quarters.
- The fastest year-over-year change in Gross Profit over five years came in Q1 2022 (growth of 34.7%), and the weakest in Q4 2022 (a decline of 54.4%).
- Business Quant data shows SWIM's Gross Profit at $37.16 million (Q1 2026), $27.94 million (Q4 2025) and $57.31 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 99.51 Bn | 94.23 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 88.71 Bn | 86.44 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 46.35 Bn | 41.60 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.93 Bn | 40.23 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 28.19 Bn | 24.61 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 15.51 Bn | 14.57 Bn | 548.70 Mn |
| 7 | Masco | 15.16 Bn | 13.02 Bn | 868.00 Mn |
| 8 | Allegion | 14.55 Bn | 13.26 Bn | 517.50 Mn |
| 9 | Carlisle Companies | 14.00 Bn | 10.34 Bn | 568.40 Mn |
| 10 | Latham | 755.96 Mn | 755.96 Mn | 70.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 70.08 Mn |
| Mar 28, 2026 | 37.16 Mn |
| Dec 31, 2025 | 27.94 Mn |
| Sep 27, 2025 | 57.31 Mn |
| Jun 28, 2025 | 63.96 Mn |
| Mar 29, 2025 | 32.88 Mn |
| Dec 31, 2024 | 21.45 Mn |
| Sep 28, 2024 | 48.69 Mn |
| Jun 29, 2024 | 53.02 Mn |
| Mar 30, 2024 | 30.59 Mn |
| Dec 31, 2023 | 21.20 Mn |
| Sep 30, 2023 | 48.15 Mn |
| Jul 1, 2023 | 50.23 Mn |
| Apr 1, 2023 | 33.37 Mn |
| Dec 31, 2022 | 19.33 Mn |
| Oct 1, 2022 | 58.88 Mn |
| Jul 2, 2022 | 67.61 Mn |
| Apr 2, 2022 | 70.65 Mn |
| Dec 31, 2021 | 42.38 Mn |
| Oct 2, 2021 | 50.99 Mn |
Latham Gross Profit 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=gross-profit&ticker=SWIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-profit", "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=gross-profit&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();