Clearfield (CLFD) Receivables (2010 - 2026)
Clearfield (CLFD) posted Receivables of $22.06 million for fiscal Q3 2026 (quarter ended Jun 30, 2026), down 17.1% from $26.61 million a year earlier but up 5.7% from the prior quarter.
Clearfield (CLFD) Receivables (2010 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Clearfield's Receivables came in at $17.99 million, up 30.0% from FY2024.
- Annual Receivables shows a five-year compound annual growth rate of 11.4% (FY2020 to FY2025).
- In prior fiscal years, Clearfield's Receivables was $13.84 million in FY2024 (-51.2%), $28.39 million in FY2023 (-47.1%), $53.7 million in FY2022 (+176.3%) and $19.44 million in FY2021 (+85.2%).
- Quarterly Receivables has run from a low of $13.84 million in fiscal Q4 2024 to a high of $55.14 million in fiscal Q1 2023 over five years.
- On a year-over-year basis, Receivables increased in three of the last eight quarters, with an average decline of 7.2%.
- The strongest year-over-year quarter for Receivables in the past five years was fiscal Q1 2023, with growth of 237.7%; the weakest was fiscal Q1 2024, with a decline of 68.5%.
- According to Business Quant data, Receivables for the three prior fiscal quarters was $20.87 million (Q2 2026), $14.97 million (Q1 2026) and $17.99 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn | 58.91 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn | 9.40 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn | 22.92 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn | 2.27 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn | 63.41 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn | 1.66 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn | 2.03 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn | 11.62 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn | 6.57 Bn |
| 10 | Clearfield | 416.91 Mn | 22.20 Mn | 13.94 Mn | 22.06 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.06 Mn |
| Mar 31, 2026 | 20.87 Mn |
| Dec 31, 2025 | 14.97 Mn |
| Sep 30, 2025 | 17.99 Mn |
| Jun 30, 2025 | 26.61 Mn |
| Mar 31, 2025 | 24.20 Mn |
| Dec 31, 2024 | 14.06 Mn |
| Sep 30, 2024 | 13.84 Mn |
| Jun 30, 2024 | 27.64 Mn |
| Mar 31, 2024 | 21.90 Mn |
| Dec 31, 2023 | 17.36 Mn |
| Sep 30, 2023 | 28.39 Mn |
| Jun 30, 2023 | 31.94 Mn |
| Mar 31, 2023 | 39.38 Mn |
| Dec 31, 2022 | 55.14 Mn |
| Sep 30, 2022 | 53.70 Mn |
| Jun 30, 2022 | 31.59 Mn |
| Mar 31, 2022 | 21.84 Mn |
| Dec 31, 2021 | 16.33 Mn |
| Sep 30, 2021 | 19.44 Mn |
Clearfield Receivables 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=receivables&ticker=CLFD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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=receivables&ticker=CLFD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();