Latham (SWIM) Restructuring Costs (2024 - 2025)
Latham (SWIM) recorded Restructuring Costs of $7,000 in Q3 2025, down 99.6% from $1.93 million a year earlier and down 95.2% from the prior quarter.
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Analysis
Latham (SWIM) Restructuring Costs (2024 - 2025) Analysis & Trends
On a TTM basis, Latham's Restructuring Costs came in at $462,000 as of Sep 27, 2025; for FY2024, it was $2.35 million, down 37.0% from FY2023.
- Across earlier years, Restructuring Costs came in at $3.73 million in FY2023 (+131.9%) and $1.61 million in FY2022.
- On a year-over-year basis, Restructuring Costs has declined for three consecutive quarters.
- Per Business Quant, the preceding three quarters came in at $145,000 (Q2 2025), $267,000 (Q1 2025) and $43,000 (Q4 2024).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 101.69 Bn | 96.41 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 89.48 Bn | 87.21 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 49.70 Bn | 44.95 Bn | 844.23 Mn |
| 4 | Carrier Global | 45.94 Bn | 40.25 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 27.46 Bn | 23.88 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 15.28 Bn | 14.34 Bn | 548.70 Mn |
| 7 | Masco | 14.83 Bn | 12.69 Bn | 868.00 Mn |
| 8 | Carlisle Companies | 13.51 Bn | 9.85 Bn | 568.40 Mn |
| 9 | Allegion | 13.35 Bn | 12.06 Bn | 517.50 Mn |
| 10 | Latham | 740.10 Mn | 740.10 Mn | 70.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2025 | 7,000.00 |
| Jun 28, 2025 | 145,000.00 |
| Mar 29, 2025 | 267,000.00 |
| Dec 31, 2024 | 43,000.00 |
| Sep 28, 2024 | 1.93 Mn |
| Jun 29, 2024 | 375,000.00 |
| Mar 30, 2024 | 318,000.00 |
API Access
Latham Restructuring Costs 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=restructuring-costs&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();