Littelfuse (LFUS) Depreciation and Depletion (2011 - 2026)
Littelfuse (LFUS) reported Depreciation and Depletion of $19.81 million for Q3 2026, up 6.5% from $18.6 million a year earlier but down 0.5% from the prior quarter.
Littelfuse (LFUS) Depreciation and Depletion (2011 - 2026) Analysis & Trends
Over the twelve months ended Sep 26, 2026, Littelfuse's Depreciation and Depletion came in at $77.21 million, up 4.7% year-over-year; for FY2025, it was $74.9 million, up 9.6% from FY2024.
- Depreciation and Depletion has a five-year compound annual growth rate of 5.9% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $68.33 million in FY2024 (-4.6%), $71.63 million in FY2023 (+10.2%), $65.01 million in FY2022 (+16.3%) and $55.91 million in FY2021 (-0.4%).
- Five-year quarterly Depreciation and Depletion spans a low of $15.6 million in Q1 2022 and a high of $19.9 million in Q2 2026.
- Year over year, Depreciation and Depletion has now increased in each of the last seven quarters, with growth averaging 5.7% over the last eight quarters.
- The high point for year-over-year Depreciation and Depletion in five years was Q2 2023 (growth of 14.6%); the low point was Q1 2024 (a decline of 5.2%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $19.9 million (Q2 2026), $19 million (Q1 2026) and $18.5 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,130.52 Bn | 4,878.01 Bn | 54.77 Bn | - |
| 2 | Cisco Systems | 407.26 Bn | 343.19 Bn | 11.06 Bn | - |
| 3 | Dell Technologies | 238.14 Bn | 193.90 Bn | 9.83 Bn | - |
| 4 | Arista Networks | 223.65 Bn | 177.11 Bn | 1.91 Bn | - |
| 5 | Sony | 155.05 Bn | 92.31 Bn | 6.53 Bn | - |
| 6 | Sandisk | 152.16 Bn | 136.98 Bn | 9.38 Bn | - |
| 7 | Seagate Technology Holdings | 127.03 Bn | 121.87 Bn | 2.43 Bn | - |
| 8 | Western Digital | 118.51 Bn | 108.34 Bn | 2.53 Bn | - |
| 9 | Hewlett Packard Enterprise | 66.67 Bn | 44.54 Bn | 4.93 Bn | - |
| 10 | Littelfuse | 9.82 Bn | 7.32 Bn | 318.56 Mn | 19.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 19.81 Mn |
| Jun 27, 2026 | 19.90 Mn |
| Mar 28, 2026 | 19.00 Mn |
| Dec 27, 2025 | 18.50 Mn |
| Sep 27, 2025 | 18.60 Mn |
| Jun 28, 2025 | 19.40 Mn |
| Mar 29, 2025 | 18.43 Mn |
| Dec 28, 2024 | 17.30 Mn |
| Sep 28, 2024 | 17.31 Mn |
| Jun 29, 2024 | 17.10 Mn |
| Mar 30, 2024 | 16.70 Mn |
| Dec 30, 2023 | 18.12 Mn |
| Sep 30, 2023 | 17.90 Mn |
| Jul 1, 2023 | 18.00 Mn |
| Apr 1, 2023 | 17.62 Mn |
| Dec 31, 2022 | 16.69 Mn |
| Oct 1, 2022 | 17.00 Mn |
| Jul 2, 2022 | 15.70 Mn |
| Apr 2, 2022 | 15.60 Mn |
| Sep 25, 2021 | 14.20 Mn |
Littelfuse Depreciation and Depletion 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=depreciation-and-depletion&ticker=LFUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=LFUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();