Littelfuse (LFUS) Sales of Property, Plant and Equipment (2011 - 2026)
Littelfuse's Sales of Property, Plant and Equipment was $109,000 in Q3 2026, down 98.1% from $5.7 million a year earlier and down 98.8% from the prior quarter.
Littelfuse (LFUS) Sales of Property, Plant and Equipment (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Littelfuse's Sales of Property, Plant and Equipment was $8.62 million through Sep 26, 2026, up 3.6% year-over-year; for FY2025, it came in at $5.81 million, down 46.4% from FY2024.
- Sales of Property, Plant and Equipment shows a five-year compound annual growth rate of 4.1% (FY2020 to FY2025).
- In earlier years, Sales of Property, Plant and Equipment was $10.84 million in FY2024, $832,000 in FY2023 (+23.1%), $676,000 in FY2022 (-95.6%) and $15.43 million in FY2021 (+224.2%).
- Quarterly Sales of Property, Plant and Equipment has moved between -$607,000 (Q4 2025) and $9.08 million (Q2 2026) over five years.
- Compared with a year earlier, Sales of Property, Plant and Equipment was higher in three of the last six quarters, with growth averaging 196.7%.
- The best year-over-year quarter for Sales of Property, Plant and Equipment over five years was Q1 2024 (growth of 858.5%); the worst was Q1 2025 (a decline of 99.8%).
- Per Business Quant data, LFUS's Sales of Property, Plant and Equipment in the three quarters before Q3 2026 was $9.08 million (Q2 2026), $31,000 (Q1 2026) and -$607,000 (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Sale) (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn | - |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn | - |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn | - |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn | - |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn | 22.71 Mn |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn | - |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn | - |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn | - |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn | 92.00 Mn |
| 10 | Littelfuse | 9.05 Bn | 6.55 Bn | 318.56 Mn | 109,000.00 |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 109,000.00 |
| Jun 27, 2026 | 9.08 Mn |
| Mar 28, 2026 | 31,000.00 |
| Dec 27, 2025 | -607,000.00 |
| Sep 27, 2025 | 5.70 Mn |
| Jun 28, 2025 | 701,000.00 |
| Mar 29, 2025 | 11,000.00 |
| Dec 28, 2024 | 1.91 Mn |
| Sep 28, 2024 | 934,000.00 |
| Jun 29, 2024 | 933,000.00 |
| Mar 30, 2024 | 7.06 Mn |
| Dec 30, 2023 | 235,000.00 |
| Sep 30, 2023 | -144,000.00 |
| Jul 1, 2023 | 4,000.00 |
| Apr 1, 2023 | 737,000.00 |
| Dec 31, 2022 | 111,000.00 |
| Oct 1, 2022 | 23,000.00 |
| Jul 2, 2022 | 521,000.00 |
| Apr 2, 2022 | 21,000.00 |
| Mar 27, 2021 | 2.55 Mn |
Littelfuse Sales of Property, Plant and Equipment 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=sales-of-property-plant-and-equipment&ticker=LFUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "sales-of-property-plant-and-equipment", "ticker": "LFUS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=sales-of-property-plant-and-equipment&ticker=LFUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();