Latham (SWIM) Total Non-Current Liabilities (2020 - 2026)
Latham (SWIM) reported Total Non-Current Liabilities of $446.67 million for Q2 2026, up 6.3% from $420.1 million a year earlier but down 2.3% from the prior quarter.
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Analysis
Latham (SWIM) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Latham posted Total Non-Current Liabilities of $413.97 million, up 2.5% from FY2024.
- Total Non-Current Liabilities has a five-year compound annual growth rate of 2.9% (FY2020 to FY2025).
- By year, Total Non-Current Liabilities came in at $403.73 million in FY2024 (-6.3%), $431.03 million in FY2023 (-10.2%), $479.77 million in FY2022 (+10.3%) and $435.15 million in FY2021 (+21.0%).
- Five-year quarterly Total Non-Current Liabilities spans a low of $392.6 million in Q3 2021 and a high of $547.36 million in Q1 2023.
- Year over year, Total Non-Current Liabilities has now increased in each of the last six quarters, with growth averaging 0.8% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2022 (growth of 32.7%); the low point was Q1 2024 (a decline of 24.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $457.15 million (Q1 2026), $413.97 million (Q4 2025) and $432.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 102.89 Bn | 97.61 Bn | 2.26 Bn | 13.62 Bn |
| 2 | Johnson Controls International | 90.95 Bn | 88.68 Bn | 2.47 Bn | 13.96 Bn |
| 3 | Comfort Systems Usa | 49.25 Bn | 44.50 Bn | 844.23 Mn | 5.10 Bn |
| 4 | Carrier Global | 46.34 Bn | 40.65 Bn | 1.94 Bn | 21.79 Bn |
| 5 | Otis Worldwide | 27.52 Bn | 23.94 Bn | 1.14 Bn | 16.58 Bn |
| 6 | James Hardie Industries | 15.16 Bn | 14.23 Bn | 548.70 Mn | 6.83 Bn |
| 7 | Masco | 14.86 Bn | 12.72 Bn | 868.00 Mn | 5.38 Bn |
| 8 | Carlisle Companies | 13.74 Bn | 10.08 Bn | 568.40 Mn | 4.36 Bn |
| 9 | Allegion | 13.36 Bn | 12.07 Bn | 517.50 Mn | 2.81 Bn |
| 10 | Latham | 747.15 Mn | 747.15 Mn | 70.08 Mn | 446.67 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 446.67 Mn |
| Mar 28, 2026 | 457.15 Mn |
| Dec 31, 2025 | 413.97 Mn |
| Sep 27, 2025 | 432.66 Mn |
| Jun 28, 2025 | 420.10 Mn |
| Mar 29, 2025 | 439.99 Mn |
| Dec 31, 2024 | 403.73 Mn |
| Sep 28, 2024 | 431.73 Mn |
| Jun 29, 2024 | 418.79 Mn |
| Mar 30, 2024 | 413.46 Mn |
| Dec 31, 2023 | 431.03 Mn |
| Sep 30, 2023 | 461.61 Mn |
| Jul 1, 2023 | 474.34 Mn |
| Apr 1, 2023 | 544.58 Mn |
| Dec 31, 2022 | 479.07 Mn |
| Oct 1, 2022 | 515.86 Mn |
| Jul 2, 2022 | 520.83 Mn |
| Apr 2, 2022 | 528.31 Mn |
| Dec 31, 2021 | 434.70 Mn |
| Oct 2, 2021 | 390.58 Mn |
API Access
Latham Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();