Clearfield (CLFD) Accumulated Expenses (2010 - 2026)
Clearfield (CLFD) posted Accumulated Expenses of $1.21 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 74.3% from $4.7 million a year earlier but up 8.9% from the prior quarter.
Clearfield (CLFD) Accumulated Expenses (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Clearfield's Accumulated Expenses came in at $2.2 million, down 2.9% from FY2024.
- Annual Accumulated Expenses has declined for three consecutive fiscal years, though with a five-year compound annual growth rate of 12.8% (FY2020 to FY2025).
- In prior fiscal years, Clearfield's Accumulated Expenses was $2.26 million in FY2024 (-5.9%), $2.4 million in FY2023 (-61.1%), $6.18 million in FY2022 (+283.2%) and $1.61 million in FY2021 (+34.1%).
- Quarterly Accumulated Expenses has run from a low of $759,000 in fiscal Q2 2022 to a high of $12.44 million in fiscal Q1 2023 over five years.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last four quarters, with an average decline of 11.0% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was fiscal Q2 2023, with growth of 565.3%; the weakest was fiscal Q1 2024, with a decline of 77.9%.
- According to Business Quant data, Accumulated Expenses for the three prior fiscal quarters was $1.11 million (Q2 2026), $2.27 million (Q1 2026) and $2.2 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,865.08 Bn | 4,612.57 Bn | 54.77 Bn |
| 2 | Cisco Systems | 424.71 Bn | 360.64 Bn | 11.06 Bn |
| 3 | Dell Technologies | 344.52 Bn | 300.28 Bn | 9.83 Bn |
| 4 | Arista Networks | 256.79 Bn | 210.25 Bn | 1.91 Bn |
| 5 | Sandisk | 254.02 Bn | 242.55 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 209.18 Bn | 204.17 Bn | 1.90 Bn |
| 7 | Western Digital | 164.06 Bn | 152.19 Bn | 2.03 Bn |
| 8 | Sony | 144.83 Bn | 95.22 Bn | 6.53 Bn |
| 9 | Lumentum Holdings | 86.05 Bn | 77.87 Bn | 477.30 Mn |
| 10 | Clearfield | 423.43 Mn | 28.73 Mn | 13.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.21 Mn |
| Mar 31, 2026 | 1.11 Mn |
| Dec 31, 2025 | 2.27 Mn |
| Sep 30, 2025 | 2.20 Mn |
| Jun 30, 2025 | 4.70 Mn |
| Mar 31, 2025 | 3.46 Mn |
| Dec 31, 2024 | 2.56 Mn |
| Sep 30, 2024 | 2.26 Mn |
| Jun 30, 2024 | 3.03 Mn |
| Mar 31, 2024 | 2.74 Mn |
| Dec 31, 2023 | 2.75 Mn |
| Sep 30, 2023 | 2.40 Mn |
| Jun 30, 2023 | 3.34 Mn |
| Mar 31, 2023 | 5.05 Mn |
| Dec 31, 2022 | 12.44 Mn |
| Sep 30, 2022 | 6.18 Mn |
| Jun 30, 2022 | 2.76 Mn |
| Mar 31, 2022 | 759,000.00 |
| Dec 31, 2021 | 4.87 Mn |
| Sep 30, 2021 | 1.61 Mn |
Clearfield 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=CLFD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=CLFD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();