Latham (SWIM) Interest Expenses (2020 - 2026)
Latham's Interest Expenses was $5.93 million in Q2 2026, down 17.1% from $7.15 million a year earlier but up 24.7% from the prior quarter.
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Analysis
Latham (SWIM) Interest Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Latham's Interest Expenses was $22.97 million through Jun 27, 2026, down 16.1% year-over-year; for FY2025, it came in at $25.81 million, up 3.9% from FY2024.
- Interest Expenses shows a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- In earlier years, Interest Expenses was $24.84 million in FY2024 (-19.7%), $30.92 million in FY2023 (+96.3%), $15.75 million in FY2022 (-35.5%) and $24.43 million in FY2021 (+33.9%).
- Quarterly Interest Expenses has moved between $1.77 million (Q1 2022) and $10.8 million (Q1 2023) over five years.
- Compared with a year earlier, Interest Expenses was higher in four of the last eight quarters, with growth averaging 0.6%.
- The best year-over-year quarter for Interest Expenses over five years was Q1 2023 (growth of 512.1%); the worst was Q1 2022 (a decline of 80.5%).
- Per Business Quant data, SWIM's Interest Expenses in the three quarters before Q2 2026 was $4.76 million (Q1 2026), $6.22 million (Q4 2025) and $6.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 104.14 Bn | 98.86 Bn | 2.26 Bn | 53.10 Mn |
| 2 | Johnson Controls International | 91.59 Bn | 89.32 Bn | 2.47 Bn | - |
| 3 | Comfort Systems Usa | 49.30 Bn | 44.56 Bn | 844.23 Mn | 1.44 Mn |
| 4 | Carrier Global | 46.68 Bn | 40.99 Bn | 1.94 Bn | - |
| 5 | Otis Worldwide | 27.65 Bn | 24.06 Bn | 1.14 Bn | - |
| 6 | James Hardie Industries | 15.30 Bn | 14.37 Bn | 548.70 Mn | 61.50 Mn |
| 7 | Masco | 14.84 Bn | 12.70 Bn | 868.00 Mn | 28.00 Mn |
| 8 | Carlisle Companies | 13.70 Bn | 10.04 Bn | 568.40 Mn | 27.40 Mn |
| 9 | Allegion | 13.58 Bn | 12.29 Bn | 517.50 Mn | 24.80 Mn |
| 10 | Latham | 743.63 Mn | 743.63 Mn | 70.08 Mn | 5.93 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 5.93 Mn |
| Mar 28, 2026 | 4.76 Mn |
| Dec 31, 2025 | 6.22 Mn |
| Sep 27, 2025 | 6.07 Mn |
| Jun 28, 2025 | 7.15 Mn |
| Mar 29, 2025 | 6.37 Mn |
| Dec 31, 2024 | 4.69 Mn |
| Sep 28, 2024 | 9.16 Mn |
| Jun 29, 2024 | 6.01 Mn |
| Mar 30, 2024 | 4.98 Mn |
| Dec 31, 2023 | 9.65 Mn |
| Sep 30, 2023 | 5.98 Mn |
| Jul 1, 2023 | 4.49 Mn |
| Apr 1, 2023 | 10.80 Mn |
| Dec 31, 2022 | 6.56 Mn |
| Oct 1, 2022 | 4.26 Mn |
| Jul 2, 2022 | 3.16 Mn |
| Apr 2, 2022 | 1.77 Mn |
| Dec 31, 2021 | 3.59 Mn |
| Oct 2, 2021 | 4.27 Mn |
API Access
Latham Interest Expenses 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=interest-expenses&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();