Littelfuse (LFUS) Total Current Liabilities (2011 - 2026)
Littelfuse (LFUS) reported Total Current Liabilities of $573.51 million for Q2 2026, up 51.0% from $379.74 million a year earlier and up 8.8% from the prior quarter.
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Analysis
Littelfuse (LFUS) Total Current Liabilities (2011 - 2026) Analysis & Trends
At the end of FY2025, Littelfuse posted Total Current Liabilities of $532.77 million, up 22.8% from FY2024.
- Total Current Liabilities has a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- By year, Total Current Liabilities came in at $433.91 million in FY2024 (+15.6%), $375.49 million in FY2023 (-34.4%), $572.3 million in FY2022 (+31.7%) and $434.63 million in FY2021 (+57.7%).
- The Q2 2026 figure ranks as the highest quarterly Total Current Liabilities in data going back to Q4 2010.
- Year over year, Total Current Liabilities has now increased in each of the last three quarters, with growth averaging 12.6% over the last eight quarters.
- The high point for year-over-year Total Current Liabilities in five years was Q4 2021 (growth of 57.7%); the low point was Q4 2023 (a decline of 34.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $527.29 million (Q1 2026), $532.77 million (Q4 2025) and $419.06 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 149.33 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 41.53 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 83.70 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 6.82 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 5.58 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 3.13 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 4.24 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 30.85 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 30.44 Bn |
| 10 | Littelfuse | 10.90 Bn | 8.41 Bn | 306.06 Mn | 573.51 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 27, 2026 | 573.51 Mn |
| Mar 28, 2026 | 527.29 Mn |
| Dec 27, 2025 | 532.77 Mn |
| Sep 27, 2025 | 419.06 Mn |
| Jun 28, 2025 | 379.74 Mn |
| Mar 29, 2025 | 369.57 Mn |
| Dec 28, 2024 | 433.91 Mn |
| Sep 28, 2024 | 439.87 Mn |
| Jun 29, 2024 | 418.19 Mn |
| Mar 30, 2024 | 404.97 Mn |
| Dec 30, 2023 | 375.49 Mn |
| Sep 30, 2023 | 481.65 Mn |
| Jul 1, 2023 | 495.68 Mn |
| Apr 1, 2023 | 519.64 Mn |
| Dec 31, 2022 | 572.30 Mn |
| Oct 1, 2022 | 448.81 Mn |
| Jul 2, 2022 | 398.77 Mn |
| Apr 2, 2022 | 365.34 Mn |
| Jan 1, 2022 | 434.63 Mn |
| Sep 25, 2021 | 421.64 Mn |
API Access
Littelfuse Total Current Liabilities 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=total-current-liabilities&ticker=LFUS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-liabilities", "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=total-current-liabilities&ticker=LFUS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();