Lci Industries (LCII) Accumulated Expenses (2010 - 2026)
Lci Industries (LCII) posted Accumulated Expenses of $339.5 million for Q2 2026, up 59.3% from $213.08 million a year earlier and up 49.0% from the prior quarter.
Lci Industries (LCII) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025, Lci Industries' Accumulated Expenses came in at $223.25 million, up 20.5% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 3.5% (FY2020 to FY2025).
- In prior years, Lci Industries' Accumulated Expenses was $185.28 million in FY2024 (+6.2%), $174.44 million in FY2023 (-20.4%), $219.24 million in FY2022 (-9.9%) and $243.44 million in FY2021 (+29.4%).
- The Q2 2026 figure stands as the highest quarterly Accumulated Expenses since Q1 2022.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last eight quarters, with growth averaging 18.7% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q1 2022, with growth of 64.1%; the weakest was Q1 2023, with a decline of 40.6%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $227.8 million (Q1 2026), $223.25 million (Q4 2025) and $227.51 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn |
| 10 | Lci Industries | 2.01 Bn | 1.23 Bn | 301.14 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 339.50 Mn |
| Mar 31, 2026 | 227.80 Mn |
| Dec 31, 2025 | 223.25 Mn |
| Sep 30, 2025 | 227.51 Mn |
| Jun 30, 2025 | 213.08 Mn |
| Mar 31, 2025 | 199.31 Mn |
| Dec 31, 2024 | 185.28 Mn |
| Sep 30, 2024 | 199.08 Mn |
| Jun 30, 2024 | 190.66 Mn |
| Mar 31, 2024 | 177.22 Mn |
| Dec 31, 2023 | 174.44 Mn |
| Sep 30, 2023 | 179.89 Mn |
| Jun 30, 2023 | 196.10 Mn |
| Mar 31, 2023 | 205.18 Mn |
| Dec 31, 2022 | 219.24 Mn |
| Sep 30, 2022 | 243.14 Mn |
| Jun 30, 2022 | 295.44 Mn |
| Mar 31, 2022 | 345.49 Mn |
| Dec 31, 2021 | 243.44 Mn |
| Sep 30, 2021 | 283.72 Mn |
Lci Industries 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=accumulated-expenses&ticker=LCII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "LCII", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=accumulated-expenses&ticker=LCII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();