Littelfuse (LFUS) Accumulated Expenses (2011 - 2026)
Littelfuse's Accumulated Expenses came in at $271.61 million for Q3 2026, up 56.3% from $173.79 million a year earlier and up 41.6% from the prior quarter.
Littelfuse (LFUS) Accumulated Expenses (2011 - 2026) Analysis & Trends
At the end of FY2025, Littelfuse's Accumulated Expenses was $199.27 million, up 34.4% from FY2024.
- Accumulated Expenses carries a five-year compound annual growth rate of 12.5% (FY2020 to FY2025).
- Going back by year, Accumulated Expenses was $148.28 million in FY2024 (-0.6%), $149.21 million in FY2023 (-20.2%), $187.06 million in FY2022 (+17.1%) and $159.69 million in FY2021 (+44.5%).
- The Q3 2026 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2010.
- Year-over-year, Accumulated Expenses has increased for seven consecutive quarters, with growth averaging 22.1% over the last eight quarters.
- The fastest year-over-year change in Accumulated Expenses over five years came in Q3 2026 (growth of 56.3%), and the weakest in Q4 2023 (a decline of 20.2%).
- Business Quant data shows LFUS's Accumulated Expenses at $191.87 million (Q2 2026), $170.79 million (Q1 2026) and $199.27 million (Q4 2025) in the three quarters before Q3 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 5,048.70 Bn | 4,796.19 Bn | 54.77 Bn |
| 2 | Cisco Systems | 412.20 Bn | 348.13 Bn | 11.06 Bn |
| 3 | Dell Technologies | 271.97 Bn | 227.72 Bn | 9.83 Bn |
| 4 | Arista Networks | 212.13 Bn | 165.59 Bn | 1.91 Bn |
| 5 | Sandisk | 168.29 Bn | 168.29 Bn | 9.38 Bn |
| 6 | Sony | 150.80 Bn | 88.06 Bn | 6.53 Bn |
| 7 | Seagate Technology Holdings | 145.14 Bn | 139.98 Bn | 2.43 Bn |
| 8 | Western Digital | 134.23 Bn | 124.06 Bn | 2.53 Bn |
| 9 | Hewlett Packard Enterprise | 73.22 Bn | 51.10 Bn | 4.93 Bn |
| 10 | Littelfuse | 9.98 Bn | 7.48 Bn | 318.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 271.61 Mn |
| Jun 27, 2026 | 191.87 Mn |
| Mar 28, 2026 | 170.79 Mn |
| Dec 27, 2025 | 199.27 Mn |
| Sep 27, 2025 | 173.79 Mn |
| Jun 28, 2025 | 154.53 Mn |
| Mar 29, 2025 | 139.82 Mn |
| Dec 28, 2024 | 148.28 Mn |
| Sep 28, 2024 | 152.77 Mn |
| Jun 29, 2024 | 135.18 Mn |
| Mar 30, 2024 | 124.29 Mn |
| Dec 30, 2023 | 149.21 Mn |
| Sep 30, 2023 | 143.54 Mn |
| Jul 1, 2023 | 143.84 Mn |
| Apr 1, 2023 | 147.78 Mn |
| Dec 31, 2022 | 187.06 Mn |
| Oct 1, 2022 | 177.13 Mn |
| Jul 2, 2022 | 137.38 Mn |
| Apr 2, 2022 | 127.01 Mn |
| Jan 1, 2022 | 159.69 Mn |
Littelfuse 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=LFUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=LFUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();