Latham (SWIM) Other Accumulated Expenses (2020 - 2026)
Latham (SWIM) reported Other Accumulated Expenses of $63.01 million for Q2 2026, up 17.7% from $53.52 million a year earlier and up 24.2% from the prior quarter.
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Analysis
Latham (SWIM) Other Accumulated Expenses (2020 - 2026) Analysis & Trends
At the end of FY2025, Latham posted Other Accumulated Expenses of $48.98 million, up 3.3% from FY2024.
- Other Accumulated Expenses has a five-year compound annual growth rate of 150.2% (FY2020 to FY2025).
- By year, Other Accumulated Expenses came in at $47.41 million in FY2024 (+16.5%), $40.69 million in FY2023 (-20.0%), $50.89 million in FY2022 and $850,000 in FY2021 (+70.0%).
- The Q2 2026 figure ranks as the highest quarterly Other Accumulated Expenses in data going back to Q4 2020.
- Year over year, Other Accumulated Expenses has now increased in each of the last eight quarters, with growth averaging 15.5% over the last eight quarters.
- The high point for year-over-year Other Accumulated Expenses in five years was Q4 2021 (growth of 70.0%); the low point was Q2 2022 (a decline of 33.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $50.73 million (Q1 2026), $48.98 million (Q4 2025) and $59.47 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Trane Technologies | 101.77 Bn | 96.49 Bn | 2.26 Bn |
| 2 | Johnson Controls International | 89.79 Bn | 87.52 Bn | 2.47 Bn |
| 3 | Comfort Systems Usa | 49.37 Bn | 44.62 Bn | 844.23 Mn |
| 4 | Carrier Global | 46.49 Bn | 40.80 Bn | 1.94 Bn |
| 5 | Otis Worldwide | 27.54 Bn | 23.96 Bn | 1.14 Bn |
| 6 | James Hardie Industries | 15.37 Bn | 14.44 Bn | 548.70 Mn |
| 7 | Masco | 14.88 Bn | 12.74 Bn | 868.00 Mn |
| 8 | Carlisle Companies | 13.65 Bn | 9.99 Bn | 568.40 Mn |
| 9 | Allegion | 13.45 Bn | 12.16 Bn | 517.50 Mn |
| 10 | Latham | 741.86 Mn | 741.86 Mn | 70.08 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 63.01 Mn |
| Mar 28, 2026 | 50.73 Mn |
| Dec 31, 2025 | 48.98 Mn |
| Sep 27, 2025 | 59.47 Mn |
| Jun 28, 2025 | 53.52 Mn |
| Mar 29, 2025 | 44.64 Mn |
| Dec 31, 2024 | 47.41 Mn |
| Sep 28, 2024 | 50.73 Mn |
| Jun 29, 2024 | 41.69 Mn |
| Mar 30, 2024 | 35.78 Mn |
| Dec 31, 2023 | 40.69 Mn |
| Sep 30, 2023 | 49.40 Mn |
| Jul 1, 2023 | 42.88 Mn |
| Apr 1, 2023 | 46.75 Mn |
| Dec 31, 2022 | 50.89 Mn |
| Oct 1, 2022 | 1.04 Mn |
| Jul 2, 2022 | 900,000.00 |
| Apr 2, 2022 | 900,000.00 |
| Dec 31, 2021 | 850,000.00 |
| Oct 2, 2021 | 1.05 Mn |
API Access
Latham Other Accumulated 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=other-accumulated-expenses&ticker=SWIM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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=other-accumulated-expenses&ticker=SWIM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();