Latham (SWIM) Free Cash Flow (2020 - 2026)
Latham (SWIM) reported Free Cash Flow of $47.95 million for Q2 2026, up 64.9% from $29.09 million a year earlier.
Latham (SWIM) Free Cash Flow (2020 - 2026) Analysis & Trends
Over the twelve months ended Jun 27, 2026, Latham's Free Cash Flow came in at $49.02 million, up 313.2% year-over-year; for FY2025, it was $38.05 million, down 7.6% from FY2024.
- Free Cash Flow has a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- By year, Free Cash Flow came in at $41.19 million in FY2024 (-50.5%), $83.18 million in FY2023, -$7.38 million in FY2022 and $8.72 million in FY2021 (-81.4%).
- The Q2 2026 figure ranks as the highest quarterly Free Cash Flow in data going back to Q1 2020.
- Year over year, Free Cash Flow gained in two of the last four quarters, with growth averaging 8.1%.
- The high point for year-over-year Free Cash Flow in five years was Q3 2023 (growth of 481.5%); the low point was Q3 2021 (a decline of 78.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$58.22 million (Q1 2026), $14.08 million (Q4 2025) and $45.21 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FCF (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 104.14 Bn | 98.86 Bn | 2.26 Bn | 1.02 Bn |
| 2 | Johnson Controls International | 91.59 Bn | 89.32 Bn | 2.47 Bn | 1.19 Bn |
| 3 | Comfort Systems Usa | 49.30 Bn | 44.56 Bn | 844.23 Mn | 998.06 Mn |
| 4 | Carrier Global | 46.68 Bn | 40.99 Bn | 1.94 Bn | 810.00 Mn |
| 5 | Otis Worldwide | 27.65 Bn | 24.06 Bn | 1.14 Bn | 223.00 Mn |
| 6 | James Hardie Industries | 15.30 Bn | 14.37 Bn | 548.70 Mn | 254.20 Mn |
| 7 | Masco | 14.84 Bn | 12.70 Bn | 868.00 Mn | 453.00 Mn |
| 8 | Carlisle Companies | 13.70 Bn | 10.04 Bn | 568.40 Mn | 200.10 Mn |
| 9 | Allegion | 13.58 Bn | 12.29 Bn | 517.50 Mn | 180.50 Mn |
| 10 | Latham | 743.63 Mn | 743.63 Mn | 70.08 Mn | 47.95 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 47.95 Mn |
| Mar 28, 2026 | -58.22 Mn |
| Dec 31, 2025 | 14.08 Mn |
| Sep 27, 2025 | 45.21 Mn |
| Jun 28, 2025 | 29.09 Mn |
| Mar 29, 2025 | -50.33 Mn |
| Dec 31, 2024 | -98,000.00 |
| Sep 28, 2024 | 33.21 Mn |
| Jun 29, 2024 | 47.94 Mn |
| Mar 30, 2024 | -39.86 Mn |
| Dec 31, 2023 | 23.33 Mn |
| Sep 30, 2023 | 46.93 Mn |
| Jul 1, 2023 | 37.34 Mn |
| Apr 1, 2023 | -24.42 Mn |
| Dec 31, 2022 | 16.39 Mn |
| Oct 1, 2022 | 8.07 Mn |
| Jul 2, 2022 | 32.30 Mn |
| Apr 2, 2022 | -64.13 Mn |
| Dec 31, 2021 | -1.47 Mn |
| Oct 2, 2021 | 9.01 Mn |
Latham Free Cash Flow 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=free-cash-flow&ticker=SWIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "free-cash-flow", "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=free-cash-flow&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();