Littelfuse (LFUS) Cost of Revenue (2010 - 2026)
Littelfuse (LFUS) reported Cost of Revenue of $448.17 million for Q3 2026, up 16.8% from $383.65 million a year earlier and up 3.6% from the prior quarter.
Littelfuse (LFUS) Cost of Revenue (2010 - 2026) Analysis & Trends
Over the twelve months ended Sep 26, 2026, Littelfuse's Cost of Revenue came in at $1.65 billion, up 12.8% year-over-year; for FY2025, it was $1.48 billion, up 5.5% from FY2024.
- Cost of Revenue has a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $1.4 billion in FY2024 (-4.0%), $1.46 billion in FY2023 (-3.0%), $1.51 billion in FY2022 (+15.2%) and $1.31 billion in FY2021 (+38.5%).
- The Q3 2026 figure ranks as the highest quarterly Cost of Revenue in data going back to Q1 2011.
- Year over year, Cost of Revenue has now increased in each of the last six quarters, with growth averaging 9.0% over the last eight quarters.
- The high point for year-over-year Cost of Revenue in five years was Q4 2021 (growth of 34.6%); the low point was Q4 2023 (a decline of 11.6%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $432.72 million (Q2 2026), $402.82 million (Q1 2026) and $368.19 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 5,020.54 Bn | 4,766.00 Bn | 54.82 Bn | 59.66 Bn |
| 2 | Cisco Systems | 371.11 Bn | 307.04 Bn | 11.06 Bn | 6.19 Bn |
| 3 | Arista Networks | 215.34 Bn | 164.54 Bn | 2.33 Bn | 1.33 Bn |
| 4 | Dell Technologies | 212.13 Bn | 167.88 Bn | 9.83 Bn | 37.14 Bn |
| 5 | Sony | 161.14 Bn | 95.68 Bn | 7.96 Bn | 13.58 Bn |
| 6 | Sandisk | 122.92 Bn | 107.75 Bn | 9.38 Bn | 1.65 Bn |
| 7 | Seagate Technology Holdings | 105.29 Bn | 100.14 Bn | 2.43 Bn | 1.81 Bn |
| 8 | Western Digital | 96.46 Bn | 86.29 Bn | 2.53 Bn | 1.85 Bn |
| 9 | Hewlett Packard Enterprise | 59.75 Bn | 37.63 Bn | 4.93 Bn | 7.29 Bn |
| 10 | Littelfuse | 9.05 Bn | 6.55 Bn | 318.56 Mn | 448.17 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 26, 2026 | 448.17 Mn |
| Jun 27, 2026 | 432.72 Mn |
| Mar 28, 2026 | 402.82 Mn |
| Dec 27, 2025 | 368.19 Mn |
| Sep 27, 2025 | 383.65 Mn |
| Jun 28, 2025 | 381.36 Mn |
| Mar 29, 2025 | 347.05 Mn |
| Dec 28, 2024 | 352.67 Mn |
| Sep 28, 2024 | 351.50 Mn |
| Jun 29, 2024 | 351.49 Mn |
| Mar 30, 2024 | 347.58 Mn |
| Dec 30, 2023 | 340.23 Mn |
| Sep 30, 2023 | 380.20 Mn |
| Jul 1, 2023 | 377.17 Mn |
| Apr 1, 2023 | 364.83 Mn |
| Dec 31, 2022 | 384.73 Mn |
| Oct 1, 2022 | 402.06 Mn |
| Jul 2, 2022 | 355.47 Mn |
| Apr 2, 2022 | 364.73 Mn |
| Jan 1, 2022 | 353.57 Mn |
Littelfuse Cost of Revenue 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=cost-of-revenue&ticker=LFUS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=LFUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();