Latham (SWIM) Cash & Equivalents (2020 - 2025)
Latham (SWIM) recorded Cash & Equivalents of $70.52 million in Q3 2025, up 17.8% from $59.86 million a year earlier and up 161.7% from the prior quarter.
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Analysis
Latham (SWIM) Cash & Equivalents (2020 - 2025) Analysis & Trends
At the end of FY2024, Latham reported Cash & Equivalents of $56.4 million, down 45.1% from FY2023.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -0.1% (FY2019 to FY2024).
- Across earlier years, Cash & Equivalents came in at $102.76 million in FY2023 (+215.0%), $32.63 million in FY2022 (-25.8%), $43.95 million in FY2021 (-25.9%) and $59.31 million in FY2020 (+4.7%).
- The Q3 2025 figure is the highest quarterly Cash & Equivalents since Q2 2024.
- On a year-over-year basis, Cash & Equivalents rose in three of the last eight quarters, with growth averaging 17.4%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 215.0% in Q4 2023, against a decline of 70.3% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $26.94 million (Q2 2025), $23.97 million (Q1 2025) and $56.4 million (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 98.79 Bn | 93.53 Bn | 2.26 Bn | 1.32 Bn |
| 2 | Johnson Controls International | 86.60 Bn | 84.36 Bn | 2.47 Bn | 641.00 Mn |
| 3 | Carrier Global | 46.55 Bn | 41.18 Bn | 1.94 Bn | 1.34 Bn |
| 4 | Comfort Systems Usa | 44.62 Bn | 38.57 Bn | 934.48 Mn | 2.16 Bn |
| 5 | Otis Worldwide | 28.78 Bn | 25.39 Bn | 1.14 Bn | 813.00 Mn |
| 6 | James Hardie Industries | 15.40 Bn | 14.47 Bn | 548.70 Mn | 289.90 Mn |
| 7 | Masco | 15.39 Bn | 13.49 Bn | 868.00 Mn | 548.00 Mn |
| 8 | Allegion | 15.00 Bn | 13.71 Bn | 517.50 Mn | 320.60 Mn |
| 9 | Carlisle Companies | 14.05 Bn | 10.39 Bn | 568.40 Mn | 665.30 Mn |
| 10 | Latham | 768.68 Mn | 768.68 Mn | 70.08 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2025 | 70.52 Mn |
| Jun 28, 2025 | 26.94 Mn |
| Mar 29, 2025 | 23.97 Mn |
| Dec 31, 2024 | 56.40 Mn |
| Sep 28, 2024 | 59.86 Mn |
| Jun 29, 2024 | 90.77 Mn |
| Mar 30, 2024 | 43.81 Mn |
| Dec 31, 2023 | 102.76 Mn |
| Sep 30, 2023 | 78.11 Mn |
| Jul 1, 2023 | 43.12 Mn |
| Apr 1, 2023 | 55.02 Mn |
| Dec 31, 2022 | 32.63 Mn |
| Oct 1, 2022 | 30.62 Mn |
| Jul 2, 2022 | 25.22 Mn |
| Apr 2, 2022 | 18.66 Mn |
| Dec 31, 2021 | 43.95 Mn |
| Oct 2, 2021 | 90.87 Mn |
| Jul 3, 2021 | 76.52 Mn |
| Apr 3, 2021 | 19.95 Mn |
| Dec 31, 2020 | 59.31 Mn |
API Access
Latham Cash & Equivalents 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-and-equivalents&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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-and-equivalents&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();