Latham (SWIM) Non Operating Interest Expenses (2020 - 2026)
Latham's Non Operating 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) Non Operating Interest Expenses (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, Latham's Non Operating 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.
- Non Operating Interest Expenses shows a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- In earlier years, Non Operating 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 Non Operating Interest Expenses has moved between $1.77 million (Q1 2022) and $10.8 million (Q1 2023) over five years.
- Compared with a year earlier, Non Operating Interest Expenses was higher in four of the last eight quarters, with growth averaging 0.6%.
- The best year-over-year quarter for Non Operating 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 Non Operating 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) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 99.55 Bn | 94.27 Bn | 2.26 Bn | 53.10 Mn |
| 2 | Johnson Controls International | 86.89 Bn | 84.62 Bn | 2.47 Bn | - |
| 3 | Carrier Global | 46.81 Bn | 41.12 Bn | 1.94 Bn | - |
| 4 | Comfort Systems Usa | 44.93 Bn | 40.18 Bn | 844.23 Mn | 1.44 Mn |
| 5 | Otis Worldwide | 28.87 Bn | 25.29 Bn | 1.14 Bn | - |
| 6 | Masco | 15.52 Bn | 13.37 Bn | 868.00 Mn | 28.00 Mn |
| 7 | James Hardie Industries | 15.33 Bn | 14.40 Bn | 548.70 Mn | 61.50 Mn |
| 8 | Allegion | 15.13 Bn | 13.84 Bn | 517.50 Mn | 24.80 Mn |
| 9 | Carlisle Companies | 14.17 Bn | 10.52 Bn | 568.40 Mn | 27.40 Mn |
| 10 | Latham | 768.30 Mn | 768.30 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 Non Operating 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=non-operating-interest-expenses&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();