Lci Industries (LCII) EBITDA (2010 - 2026)
Lci Industries (LCII) recorded EBITDA of $126.82 million in Q2 2026, up 7.4% from $118.13 million a year earlier and up 1.5% from the prior quarter.
Lci Industries (LCII) EBITDA (2010 - 2026) Analysis & Trends
On a TTM basis, Lci Industries' EBITDA came in at $423.94 million as of Jun 30, 2026, up 17.8% year-over-year; for FY2025, it was $401.15 million, up 16.6% from FY2024.
- Annual EBITDA has a five-year compound annual growth rate of 4.6% (FY2020 to FY2025).
- Across earlier years, EBITDA came in at $343.93 million in FY2024 (+34.8%), $255.2 million in FY2023 (-62.6%), $682.24 million in FY2022 (+33.6%) and $510.73 million in FY2021 (+59.1%).
- The Q2 2026 figure is the highest quarterly EBITDA since Q2 2022.
- On a year-over-year basis, EBITDA has increased for four consecutive quarters, with growth averaging 18.1% over the last eight quarters.
- Peak year-over-year performance for EBITDA in the last five years was growth of 248.4% in Q4 2023, against a decline of 93.0% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $124.96 million (Q1 2026), $66.24 million (Q4 2025) and $105.92 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 372.79 Bn | 344.49 Bn | 7.76 Bn | 4.91 Bn |
| 2 | Amphenol | 207.98 Bn | 202.68 Bn | 3.55 Bn | 2.93 Bn |
| 3 | Deere | 181.02 Bn | 189.78 Bn | 4.66 Bn | 2.46 Bn |
| 4 | Eaton | 166.86 Bn | 164.09 Bn | 2.86 Bn | 1.79 Bn |
| 5 | Parker-Hannifin | 120.45 Bn | 118.58 Bn | 2.25 Bn | 1.61 Bn |
| 6 | Vertiv Holdings | 92.94 Bn | 83.56 Bn | 1.23 Bn | 753.70 Mn |
| 7 | Emerson Electric | 86.56 Bn | 79.32 Bn | 2.66 Bn | 1.69 Bn |
| 8 | 3M | 84.72 Bn | 66.18 Bn | 2.68 Bn | 1.32 Bn |
| 9 | Illinois Tool Works | 73.32 Bn | 69.88 Bn | 1.90 Bn | 1.25 Bn |
| 10 | Lci Industries | 2.03 Bn | 1.25 Bn | 301.14 Mn | 126.82 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 126.82 Mn |
| Mar 31, 2026 | 124.96 Mn |
| Dec 31, 2025 | 66.24 Mn |
| Sep 30, 2025 | 105.92 Mn |
| Jun 30, 2025 | 118.13 Mn |
| Mar 31, 2025 | 110.86 Mn |
| Dec 31, 2024 | 45.83 Mn |
| Sep 30, 2024 | 85.16 Mn |
| Jun 30, 2024 | 122.64 Mn |
| Mar 31, 2024 | 90.30 Mn |
| Dec 31, 2023 | 35.57 Mn |
| Sep 30, 2023 | 78.86 Mn |
| Jun 30, 2023 | 88.22 Mn |
| Mar 31, 2023 | 52.54 Mn |
| Dec 31, 2022 | 10.21 Mn |
| Sep 30, 2022 | 119.82 Mn |
| Jun 30, 2022 | 250.70 Mn |
| Mar 31, 2022 | 301.51 Mn |
| Dec 31, 2021 | 146.08 Mn |
| Sep 30, 2021 | 117.97 Mn |
Lci Industries EBITDA 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=ebitda&ticker=LCII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=LCII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();