Latham (SWIM) Depreciation & Amortization - Total (2024 - 2025)
Latham's Depreciation & Amortization - Total was $5.45 million in Q3 2025, up 32.0% from $4.13 million a year earlier and up 5.1% from the prior quarter.
Latham (SWIM) Depreciation & Amortization - Total (2024 - 2025) Analysis & Trends
On a trailing twelve-month basis, Latham's Depreciation & Amortization - Total was $20.3 million through Sep 27, 2025; for FY2024, it was $16.49 million, up 19.4% from FY2023.
- In earlier years, Depreciation & Amortization - Total was $13.82 million in FY2023 (+38.2%) and $10 million in FY2022.
- Compared with a year earlier, Depreciation & Amortization - Total has increased for three straight quarters.
- Per Business Quant data, SWIM's Depreciation & Amortization - Total in the three quarters before Q3 2025 was $5.19 million (Q2 2025), $5 million (Q1 2025) and $4.66 million (Q4 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (Qtr) |
|---|---|---|---|---|---|
| 1 | Trane Technologies | 98.79 Bn | 93.53 Bn | 2.26 Bn | - |
| 2 | Johnson Controls International | 86.60 Bn | 84.36 Bn | 2.47 Bn | - |
| 3 | Carrier Global | 46.55 Bn | 41.18 Bn | 1.94 Bn | - |
| 4 | Comfort Systems Usa | 44.62 Bn | 38.57 Bn | 934.48 Mn | - |
| 5 | Otis Worldwide | 28.78 Bn | 25.39 Bn | 1.14 Bn | - |
| 6 | James Hardie Industries | 15.40 Bn | 14.47 Bn | 548.70 Mn | - |
| 7 | Masco | 15.39 Bn | 13.49 Bn | 868.00 Mn | - |
| 8 | Allegion | 15.00 Bn | 13.71 Bn | 517.50 Mn | - |
| 9 | Carlisle Companies | 14.05 Bn | 10.39 Bn | 568.40 Mn | - |
| 10 | Latham | 768.68 Mn | 768.68 Mn | 70.08 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2025 | 5.45 Mn |
| Jun 28, 2025 | 5.19 Mn |
| Mar 29, 2025 | 5.00 Mn |
| Dec 31, 2024 | 4.66 Mn |
| Sep 28, 2024 | 4.13 Mn |
| Jun 29, 2024 | 3.95 Mn |
| Mar 30, 2024 | 3.75 Mn |
Latham Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=SWIM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();