Latham (SWIM) Non-Current Debt (2020 - 2026)
Latham (SWIM) recorded Non-Current Debt of $276.56 million in Q2 2026, down 0.6% from $278.24 million a year earlier and down 0.2% from the prior quarter.
Latham (SWIM) Non-Current Debt (2020 - 2026) Analysis & Trends
At the end of FY2025, Latham reported Non-Current Debt of $276.59 million, down 0.6% from FY2024.
- Annual Non-Current Debt has declined for three straight years, though with a five-year compound annual growth rate of 5.8% (FY2020 to FY2025).
- Across earlier years, Non-Current Debt came in at $278.27 million in FY2024 (-0.6%), $279.95 million in FY2023 (-9.6%), $309.63 million in FY2022 (+17.6%) and $263.19 million in FY2021 (+26.3%).
- The Q2 2026 figure is the lowest quarterly Non-Current Debt since Q4 2021.
- On a year-over-year basis, Non-Current Debt has declined for five consecutive quarters, with an average decline of 1.1% over the last eight quarters.
- Peak year-over-year performance for Non-Current Debt in the last five years was growth of 41.0% in Q3 2022, against a decline of 21.7% in Q1 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $276.98 million (Q1 2026), $276.59 million (Q4 2025) and $277.82 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.69 Bn | 96.41 Bn | 2.26 Bn | 3.92 Bn |
| 2 | Johnson Controls International | 89.48 Bn | 87.21 Bn | 2.47 Bn | 8.30 Bn |
| 3 | Comfort Systems Usa | 49.70 Bn | 44.95 Bn | 844.23 Mn | 53.85 Mn |
| 4 | Carrier Global | 45.94 Bn | 40.25 Bn | 1.94 Bn | 10.31 Bn |
| 5 | Otis Worldwide | 27.46 Bn | 23.88 Bn | 1.14 Bn | 7.05 Bn |
| 6 | James Hardie Industries | 15.28 Bn | 14.34 Bn | 548.70 Mn | 4.23 Bn |
| 7 | Masco | 14.83 Bn | 12.69 Bn | 868.00 Mn | 3.25 Bn |
| 8 | Carlisle Companies | 13.51 Bn | 9.85 Bn | 568.40 Mn | 2.88 Bn |
| 9 | Allegion | 13.35 Bn | 12.06 Bn | 517.50 Mn | 2.03 Bn |
| 10 | Latham | 740.10 Mn | 740.10 Mn | 70.08 Mn | 276.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 276.56 Mn |
| Mar 28, 2026 | 276.98 Mn |
| Dec 31, 2025 | 276.59 Mn |
| Sep 27, 2025 | 277.82 Mn |
| Jun 28, 2025 | 278.24 Mn |
| Mar 29, 2025 | 303.66 Mn |
| Dec 31, 2024 | 278.27 Mn |
| Sep 28, 2024 | 279.50 Mn |
| Jun 29, 2024 | 279.11 Mn |
| Mar 30, 2024 | 279.53 Mn |
| Dec 31, 2023 | 279.95 Mn |
| Sep 30, 2023 | 298.37 Mn |
| Jul 1, 2023 | 308.79 Mn |
| Apr 1, 2023 | 357.21 Mn |
| Dec 31, 2022 | 309.63 Mn |
| Oct 1, 2022 | 310.05 Mn |
| Jul 2, 2022 | 310.47 Mn |
| Apr 2, 2022 | 320.89 Mn |
| Dec 31, 2021 | 263.19 Mn |
| Oct 2, 2021 | 219.97 Mn |
Latham Non-Current Debt 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-current-debt&ticker=SWIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-current-debt&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();