Clearfield (CLFD) Operating Expenses (2010 - 2026)
Clearfield's Operating Expenses came in at $11.37 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 6.4% from $12.15 million a year earlier and down 14.0% from the prior quarter.
Clearfield (CLFD) Operating Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Clearfield reported Operating Expenses of $51.09 million, up 22.2% year-over-year; for FY2025 (ended Sep 30, 2025), it was $48.42 million, up 7.4% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 10.4% (FY2020 to FY2025).
- Going back by fiscal year, Operating Expenses was $45.08 million in FY2024 (+6.6%), $42.28 million in FY2023 (-13.9%), $49.13 million in FY2022 (+36.7%) and $35.94 million in FY2021 (+21.7%).
- The fiscal Q3 2026 figure represents the lowest quarterly Operating Expenses since fiscal Q1 2025.
- Year-over-year, Operating Expenses increased in four of the last eight quarters, with growth averaging 18.0%.
- The fastest year-over-year change in Operating Expenses over five years came in fiscal Q4 2025 (growth of 99.5%), and the weakest in fiscal Q4 2023 (a decline of 70.1%).
- Business Quant data shows CLFD's Operating Expenses at $13.23 million (Q2 2026), $13.21 million (Q1 2026) and $13.27 million (Q4 2025) in the three fiscal quarters before Q3 2026.
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 | Clearfield | 416.91 Mn | 22.20 Mn | 13.94 Mn | 11.37 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 11.37 Mn |
| Mar 31, 2026 | 13.23 Mn |
| Dec 31, 2025 | 13.21 Mn |
| Sep 30, 2025 | 13.27 Mn |
| Jun 30, 2025 | 12.15 Mn |
| Mar 31, 2025 | 12.28 Mn |
| Dec 31, 2024 | 10.72 Mn |
| Sep 30, 2024 | 6.65 Mn |
| Jun 30, 2024 | 13.00 Mn |
| Mar 31, 2024 | 12.57 Mn |
| Dec 31, 2023 | 12.86 Mn |
| Sep 30, 2023 | 4.57 Mn |
| Jun 30, 2023 | 13.45 Mn |
| Mar 31, 2023 | 11.51 Mn |
| Dec 31, 2022 | 12.76 Mn |
| Sep 30, 2022 | 15.25 Mn |
| Jun 30, 2022 | 12.72 Mn |
| Mar 31, 2022 | 11.23 Mn |
| Dec 31, 2021 | 9.92 Mn |
| Sep 30, 2021 | 10.36 Mn |
Clearfield 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=CLFD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CLFD", "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=CLFD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();