Latham (SWIM) Total Current Liabilities (2020 - 2026)
Latham (SWIM) recorded Total Current Liabilities of $111.53 million in Q2 2026, up 24.1% from $89.87 million a year earlier but down 8.8% from the prior quarter.
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Analysis
Latham (SWIM) Total Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Latham reported Total Current Liabilities of $79.14 million, up 11.5% from FY2024.
- Annual Total Current Liabilities has a five-year compound annual growth rate of -3.4% (FY2020 to FY2025).
- Across earlier years, Total Current Liabilities came in at $70.98 million in FY2024 (-17.7%), $86.21 million in FY2023 (-0.8%), $86.87 million in FY2022 (-24.6%) and $115.17 million in FY2021 (+22.6%).
- Quarterly Total Current Liabilities has ranged from $70.88 million in Q1 2024 to $124.47 million in Q2 2022 over the past five years.
- On a year-over-year basis, Total Current Liabilities has increased for six consecutive quarters, with growth averaging 13.9% over the last eight quarters.
- Peak year-over-year performance for Total Current Liabilities in the last five years was growth of 47.3% in Q1 2026, against a decline of 33.3% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $122.27 million (Q1 2026), $79.14 million (Q4 2025) and $99.22 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.68 Bn | 96.40 Bn | 2.26 Bn | 8.39 Bn |
| 2 | Johnson Controls International | 89.58 Bn | 87.31 Bn | 2.47 Bn | 11.28 Bn |
| 3 | Comfort Systems Usa | 49.76 Bn | 45.02 Bn | 844.23 Mn | 4.77 Bn |
| 4 | Carrier Global | 45.98 Bn | 40.28 Bn | 1.94 Bn | 9.23 Bn |
| 5 | Otis Worldwide | 27.46 Bn | 23.87 Bn | 1.14 Bn | 8.23 Bn |
| 6 | James Hardie Industries | 15.27 Bn | 14.34 Bn | 548.70 Mn | 1.11 Bn |
| 7 | Masco | 14.85 Bn | 12.71 Bn | 868.00 Mn | 1.65 Bn |
| 8 | Carlisle Companies | 13.51 Bn | 9.86 Bn | 568.40 Mn | 883.40 Mn |
| 9 | Allegion | 13.36 Bn | 12.07 Bn | 517.50 Mn | 777.30 Mn |
| 10 | Latham | 740.10 Mn | 740.10 Mn | 70.08 Mn | 111.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 111.53 Mn |
| Mar 28, 2026 | 122.27 Mn |
| Dec 31, 2025 | 79.14 Mn |
| Sep 27, 2025 | 99.22 Mn |
| Jun 28, 2025 | 89.87 Mn |
| Mar 29, 2025 | 83.03 Mn |
| Dec 31, 2024 | 70.98 Mn |
| Sep 28, 2024 | 89.38 Mn |
| Jun 29, 2024 | 78.14 Mn |
| Mar 30, 2024 | 70.88 Mn |
| Dec 31, 2023 | 86.21 Mn |
| Sep 30, 2023 | 86.94 Mn |
| Jul 1, 2023 | 87.84 Mn |
| Apr 1, 2023 | 106.28 Mn |
| Dec 31, 2022 | 86.87 Mn |
| Oct 1, 2022 | 115.92 Mn |
| Jul 2, 2022 | 124.47 Mn |
| Apr 2, 2022 | 124.04 Mn |
| Dec 31, 2021 | 115.17 Mn |
| Oct 2, 2021 | 114.66 Mn |
API Access
Latham Total 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-current-liabilities&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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-current-liabilities&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();