Latham (SWIM) Operating Leases (2022 - 2026)
Latham (SWIM) posted Operating Leases of $24.31 million for Q2 2026, up 23.8% from $19.64 million a year earlier and up 2.9% from the prior quarter.
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Analysis
Latham (SWIM) Operating Leases (2022 - 2026) Analysis & Trends
At the end of FY2025, Latham's Operating Leases came in at $23.96 million, up 8.2% from FY2024.
- Annual Operating Leases shows a three-year compound annual growth rate of -9.6% (FY2022 to FY2025).
- In prior years, Latham's Operating Leases was $22.14 million in FY2024 (-10.7%), $24.79 million in FY2023 (-23.5%) and $32.39 million in FY2022.
- The Q2 2026 figure stands as the highest quarterly Operating Leases since Q4 2023.
- On a year-over-year basis, Operating Leases has increased in each of the last four quarters, with growth averaging 0.8% over the last eight quarters.
- The strongest year-over-year quarter for Operating Leases in the past five years was Q2 2026, with growth of 23.8%; the weakest was Q1 2024, with a decline of 25.7%.
- According to Business Quant data, Operating Leases for the three prior quarters was $23.63 million (Q1 2026), $23.96 million (Q4 2025) and $23.27 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 101.77 Bn | 96.49 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 89.79 Bn | 87.52 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 49.37 Bn | 44.62 Bn | 844.23 Mn |
| 4 | Carrier Global | 46.49 Bn | 40.80 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 27.54 Bn | 23.96 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 15.37 Bn | 14.44 Bn | 548.70 Mn |
| 7 | Masco | 14.88 Bn | 12.74 Bn | 868.00 Mn |
| 8 | Carlisle Companies | 13.65 Bn | 9.99 Bn | 568.40 Mn |
| 9 | Allegion | 13.45 Bn | 12.16 Bn | 517.50 Mn |
| 10 | Latham | 741.86 Mn | 741.86 Mn | 70.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 24.31 Mn |
| Mar 28, 2026 | 23.63 Mn |
| Dec 31, 2025 | 23.96 Mn |
| Sep 27, 2025 | 23.27 Mn |
| Jun 28, 2025 | 19.64 Mn |
| Mar 29, 2025 | 20.95 Mn |
| Dec 31, 2024 | 22.14 Mn |
| Sep 28, 2024 | 22.76 Mn |
| Jun 29, 2024 | 21.45 Mn |
| Mar 30, 2024 | 22.96 Mn |
| Dec 31, 2023 | 24.79 Mn |
| Sep 30, 2023 | 26.12 Mn |
| Jul 1, 2023 | 27.53 Mn |
| Apr 1, 2023 | 30.91 Mn |
| Dec 31, 2022 | 32.39 Mn |
| Oct 1, 2022 | 33.55 Mn |
| Jul 2, 2022 | 29.55 Mn |
| Apr 2, 2022 | 27.03 Mn |
API Access
Latham Operating Leases 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=operating-leases&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();