Clearfield (CLFD) Operating Leases (2019 - 2026)
Clearfield (CLFD) recorded Operating Leases of $7.54 million in fiscal Q3 2026 (quarter ended Jun 30, 2026), down 47.5% from $14.35 million a year earlier and down 6.4% from the prior quarter.
Clearfield (CLFD) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 30, 2025), Clearfield reported Operating Leases of $5.93 million, down 32.2% from FY2024.
- Annual Operating Leases has a five-year compound annual growth rate of 22.7% (FY2020 to FY2025).
- Across earlier fiscal years, Operating Leases came in at $8.76 million in FY2024 (-17.6%), $10.63 million in FY2023 (+2.1%), $10.41 million in FY2022 (+544.7%) and $1.62 million in FY2021 (-24.2%).
- Quarterly Operating Leases has ranged from $1.21 million in fiscal Q1 2022 to $15 million in fiscal Q1 2025 over the past five years.
- On a year-over-year basis, Operating Leases has declined for four consecutive quarters, with an average decline of 11.1% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 699.5% in fiscal Q1 2023, against a decline of 65.4% in fiscal Q1 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $8.05 million (Q2 2026), $5.19 million (Q1 2026) and $5.93 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Apple | 4,943.67 Bn | 4,691.16 Bn | 54.77 Bn |
| 2 | Cisco Systems | 421.20 Bn | 357.13 Bn | 11.06 Bn |
| 3 | Dell Technologies | 347.85 Bn | 303.60 Bn | 9.83 Bn |
| 4 | Arista Networks | 258.42 Bn | 211.87 Bn | 1.91 Bn |
| 5 | Sandisk | 250.08 Bn | 238.60 Bn | 7.58 Bn |
| 6 | Seagate Technology Holdings | 208.99 Bn | 203.98 Bn | 1.90 Bn |
| 7 | Western Digital | 163.62 Bn | 151.74 Bn | 2.03 Bn |
| 8 | Sony | 143.48 Bn | 93.86 Bn | 6.53 Bn |
| 9 | Hewlett Packard Enterprise | 83.23 Bn | 61.11 Bn | 4.93 Bn |
| 10 | Clearfield | 416.91 Mn | 22.20 Mn | 13.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.54 Mn |
| Mar 31, 2026 | 8.05 Mn |
| Dec 31, 2025 | 5.19 Mn |
| Sep 30, 2025 | 5.93 Mn |
| Jun 30, 2025 | 14.35 Mn |
| Mar 31, 2025 | 14.46 Mn |
| Dec 31, 2024 | 15.00 Mn |
| Sep 30, 2024 | 8.76 Mn |
| Jun 30, 2024 | 13.14 Mn |
| Mar 31, 2024 | 9.10 Mn |
| Dec 31, 2023 | 9.97 Mn |
| Sep 30, 2023 | 10.63 Mn |
| Jun 30, 2023 | 11.57 Mn |
| Mar 31, 2023 | 8.94 Mn |
| Dec 31, 2022 | 9.71 Mn |
| Sep 30, 2022 | 10.41 Mn |
| Jun 30, 2022 | 10.48 Mn |
| Mar 31, 2022 | 11.19 Mn |
| Dec 31, 2021 | 1.21 Mn |
| Sep 30, 2021 | 1.62 Mn |
Clearfield Operating Leases 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-leases&ticker=CLFD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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-leases&ticker=CLFD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();