Littelfuse (LFUS) Operating Expenses (2010 - 2026)
Littelfuse (LFUS) recorded Operating Expenses of $186.34 million in Q2 2026, up 33.8% from $139.28 million a year earlier and up 21.8% from the prior quarter.
Powered by 
Analysis
Littelfuse (LFUS) Operating Expenses (2010 - 2026) Analysis & Trends
On a TTM basis, Littelfuse's Operating Expenses came in at $931.46 million as of Jun 27, 2026, up 47.7% year-over-year; for FY2025, it came in at $868.52 million, up 38.1% from FY2024.
- Annual Operating Expenses has increased for five straight years, with a five-year compound annual growth rate of 20.7% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $628.76 million in FY2024 (+16.6%), $539.38 million in FY2023 (+6.6%), $506.09 million in FY2022 (+31.0%) and $386.28 million in FY2021 (+14.0%).
- Quarterly Operating Expenses has ranged from $108.01 million in Q1 2022 to $448.56 million in Q4 2025 over the past five years.
- On a year-over-year basis, Operating Expenses has increased for four consecutive quarters, with growth averaging 28.6% over the last eight quarters.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 98.2% in Q4 2025, against a decline of 3.9% in Q4 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $152.98 million (Q1 2026), $448.56 million (Q4 2025) and $143.57 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 19.08 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 6.80 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 4.45 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 532.30 Mn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 545.00 Mn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 2.07 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 465.00 Mn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 14.83 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 10.82 Bn |
| 10 | Littelfuse | 10.90 Bn | 8.41 Bn | 306.06 Mn | 186.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 186.34 Mn |
| Mar 28, 2026 | 152.98 Mn |
| Dec 27, 2025 | 448.56 Mn |
| Sep 27, 2025 | 143.57 Mn |
| Jun 28, 2025 | 139.28 Mn |
| Mar 29, 2025 | 137.11 Mn |
| Dec 28, 2024 | 226.34 Mn |
| Sep 28, 2024 | 128.07 Mn |
| Jun 29, 2024 | 141.50 Mn |
| Mar 30, 2024 | 132.86 Mn |
| Dec 30, 2023 | 129.06 Mn |
| Sep 30, 2023 | 133.23 Mn |
| Jul 1, 2023 | 142.78 Mn |
| Apr 1, 2023 | 134.32 Mn |
| Dec 31, 2022 | 134.32 Mn |
| Oct 1, 2022 | 134.95 Mn |
| Jul 2, 2022 | 128.81 Mn |
| Apr 2, 2022 | 108.01 Mn |
| Sep 25, 2021 | 94.47 Mn |
| Jun 26, 2021 | 101.14 Mn |
API Access
Littelfuse Operating 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=operating-expenses&ticker=LFUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=LFUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();