Latham (SWIM) Cash from Operations (2020 - 2026)
Latham's Cash from Operations came in at $53.5 million for Q2 2026, up 48.7% from $35.98 million a year earlier.
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Analysis
Latham (SWIM) Cash from Operations (2020 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 27, 2026, Latham reported Cash from Operations of $80.12 million, up 146.6% year-over-year; for FY2025, it was $63.43 million, up 3.5% from FY2024.
- Cash from Operations carries a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- Going back by year, Cash from Operations was $61.31 million in FY2024 (-47.3%), $116.37 million in FY2023 (+260.2%), $32.31 million in FY2022 (-4.1%) and $33.69 million in FY2021 (-46.7%).
- The Q2 2026 figure represents the highest quarterly Cash from Operations since Q2 2021.
- Year-over-year, Cash from Operations increased in three of the last six quarters, with growth averaging 37.8%.
- The fastest year-over-year change in Cash from Operations over five years came in Q4 2022 (growth of 534.9%), and the weakest in Q4 2024 (a decline of 78.2%).
- Business Quant data shows SWIM's Cash from Operations at -$47.72 million (Q1 2026), $23.31 million (Q4 2025) and $51.03 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 104.14 Bn | 98.86 Bn | 2.26 Bn | 1.10 Bn |
| 2 | Johnson Controls International | 91.59 Bn | 89.32 Bn | 2.47 Bn | 1.29 Bn |
| 3 | Comfort Systems Usa | 49.30 Bn | 44.56 Bn | 844.23 Mn | 1.14 Bn |
| 4 | Carrier Global | 46.68 Bn | 40.99 Bn | 1.94 Bn | 927.00 Mn |
| 5 | Otis Worldwide | 27.65 Bn | 24.06 Bn | 1.14 Bn | 267.00 Mn |
| 6 | James Hardie Industries | 15.30 Bn | 14.37 Bn | 548.70 Mn | 344.00 Mn |
| 7 | Masco | 14.84 Bn | 12.70 Bn | 868.00 Mn | 496.00 Mn |
| 8 | Carlisle Companies | 13.70 Bn | 10.04 Bn | 568.40 Mn | 241.80 Mn |
| 9 | Allegion | 13.58 Bn | 12.29 Bn | 517.50 Mn | 198.40 Mn |
| 10 | Latham | 743.63 Mn | 743.63 Mn | 70.08 Mn | 53.50 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 53.50 Mn |
| Mar 28, 2026 | -47.72 Mn |
| Dec 31, 2025 | 23.31 Mn |
| Sep 27, 2025 | 51.03 Mn |
| Jun 28, 2025 | 35.98 Mn |
| Mar 29, 2025 | -46.88 Mn |
| Dec 31, 2024 | 6.16 Mn |
| Sep 28, 2024 | 37.24 Mn |
| Jun 29, 2024 | 52.42 Mn |
| Mar 30, 2024 | -34.51 Mn |
| Dec 31, 2023 | 28.25 Mn |
| Sep 30, 2023 | 51.83 Mn |
| Jul 1, 2023 | 50.77 Mn |
| Apr 1, 2023 | -14.48 Mn |
| Dec 31, 2022 | 27.07 Mn |
| Oct 1, 2022 | 20.32 Mn |
| Jul 2, 2022 | 42.38 Mn |
| Apr 2, 2022 | -57.47 Mn |
| Dec 31, 2021 | 4.26 Mn |
| Oct 2, 2021 | 15.29 Mn |
API Access
Latham Cash from Operations 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=cash-from-operations&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();