Latham (SWIM) Non-Current Assets (2020 - 2026)
Latham (SWIM) recorded Non-Current Assets of $619.75 million in Q2 2026, up 2.0% from $607.77 million a year earlier but down 1.1% from the prior quarter.
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Analysis
Latham (SWIM) Non-Current Assets (2020 - 2026) Analysis & Trends
At the end of FY2025, Latham reported Non-Current Assets of $604.22 million, down 1.9% from FY2024.
- Annual Non-Current Assets has a five-year compound annual growth rate of 4.7% (FY2020 to FY2025).
- Across earlier years, Non-Current Assets came in at $615.91 million in FY2024 (+3.3%), $596.39 million in FY2023 (-3.0%), $614.68 million in FY2022 (+8.7%) and $565.42 million in FY2021 (+18.0%).
- Quarterly Non-Current Assets has ranged from $470.05 million in Q3 2021 to $635.57 million in Q3 2024 over the past five years.
- On a year-over-year basis, Non-Current Assets rose in six of the last eight quarters, with growth averaging 1.9%.
- Peak year-over-year performance for Non-Current Assets in the last five years was growth of 29.0% in Q3 2022, against a decline of 5.0% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $626.53 million (Q1 2026), $604.22 million (Q4 2025) and $603.51 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 101.77 Bn | 96.49 Bn | 2.26 Bn | 14.92 Bn |
| 2 | Johnson Controls International | 89.79 Bn | 87.52 Bn | 2.47 Bn | 27.48 Bn |
| 3 | Comfort Systems Usa | 49.37 Bn | 44.62 Bn | 844.23 Mn | 2.70 Bn |
| 4 | Carrier Global | 46.49 Bn | 40.80 Bn | 1.94 Bn | 27.96 Bn |
| 5 | Otis Worldwide | 27.54 Bn | 23.96 Bn | 1.14 Bn | 4.32 Bn |
| 6 | James Hardie Industries | 15.37 Bn | 14.44 Bn | 548.70 Mn | 11.73 Bn |
| 7 | Masco | 14.88 Bn | 12.74 Bn | 868.00 Mn | 2.33 Bn |
| 8 | Carlisle Companies | 13.65 Bn | 9.99 Bn | 568.40 Mn | 3.94 Bn |
| 9 | Allegion | 13.45 Bn | 12.16 Bn | 517.50 Mn | 3.86 Bn |
| 10 | Latham | 741.86 Mn | 741.86 Mn | 70.08 Mn | 619.75 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 619.75 Mn |
| Mar 28, 2026 | 626.53 Mn |
| Dec 31, 2025 | 604.22 Mn |
| Sep 27, 2025 | 603.51 Mn |
| Jun 28, 2025 | 607.77 Mn |
| Mar 29, 2025 | 613.05 Mn |
| Dec 31, 2024 | 615.91 Mn |
| Sep 28, 2024 | 635.57 Mn |
| Jun 29, 2024 | 578.64 Mn |
| Mar 30, 2024 | 587.30 Mn |
| Dec 31, 2023 | 596.39 Mn |
| Sep 30, 2023 | 601.91 Mn |
| Jul 1, 2023 | 609.08 Mn |
| Apr 1, 2023 | 611.00 Mn |
| Dec 31, 2022 | 614.68 Mn |
| Oct 1, 2022 | 606.27 Mn |
| Jul 2, 2022 | 602.10 Mn |
| Apr 2, 2022 | 601.47 Mn |
| Dec 31, 2021 | 565.42 Mn |
| Oct 2, 2021 | 470.05 Mn |
API Access
Latham Non-Current Assets 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-assets&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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-assets&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();