Lci Industries (LCII) Selling, General & Administrative (2010 - 2026)
Lci Industries (LCII) reported Selling, General & Administrative of $143.84 million for Q2 2026, up 12.4% from $127.98 million a year earlier and up 17.3% from the prior quarter.
Lci Industries (LCII) Selling, General & Administrative (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Lci Industries' Selling, General & Administrative came in at $409.13 million, up 10.2% year-over-year; for FY2025, it came in at $495.31 million, up 6.5% from FY2024.
- Selling, General & Administrative has a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- By year, Selling, General & Administrative came in at $465 million in FY2024 (+2.6%), $453.33 million in FY2023 (-37.1%), $720.26 million in FY2022 (+11.7%) and $644.63 million in FY2021 (+33.4%).
- Five-year quarterly Selling, General & Administrative spans a low of -$43.21 million in Q4 2024 and a high of $194.54 million in Q1 2022.
- Year over year, Selling, General & Administrative gained in four of the last six quarters, with an average decline of 5.6%.
- The high point for year-over-year Selling, General & Administrative in five years was Q1 2022 (growth of 38.6%); the low point was Q1 2025 (a decline of 27.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $122.62 million (Q1 2026), -$34.51 million (Q4 2025) and $177.17 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn | 2.02 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn | 939.90 Mn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn | 1.22 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn | 1.24 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn | 874.00 Mn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn | 494.40 Mn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn | 1.34 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn | 1.06 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 | 143.84 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 143.84 Mn |
| Mar 31, 2026 | 122.62 Mn |
| Dec 31, 2025 | -34.51 Mn |
| Sep 30, 2025 | 177.17 Mn |
| Jun 30, 2025 | 127.98 Mn |
| Mar 31, 2025 | 120.58 Mn |
| Dec 31, 2024 | -43.21 Mn |
| Sep 30, 2024 | 166.07 Mn |
| Jun 30, 2024 | 175.84 Mn |
| Mar 31, 2024 | 166.30 Mn |
| Dec 31, 2023 | -41.00 Mn |
| Sep 30, 2023 | 165.36 Mn |
| Jun 30, 2023 | 162.95 Mn |
| Mar 31, 2023 | 166.03 Mn |
| Dec 31, 2022 | 169.94 Mn |
| Sep 30, 2022 | 165.48 Mn |
| Jun 30, 2022 | 190.30 Mn |
| Mar 31, 2022 | 194.54 Mn |
| Dec 31, 2021 | 178.09 Mn |
| Sep 30, 2021 | 162.56 Mn |
Lci Industries Selling, General & Administrative 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=selling-general-and-administrative&ticker=LCII&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=LCII&period=max&api_key=YOUR_API_KEY");
const data = await res.json();