Clearfield (CLFD) Return on Sales [ROS] (2010 - 2026)
Clearfield's Return on Sales [ROS] was 5.86% in fiscal Q3 2026 (quarter ended Jun 30, 2026), up 1.92 percentage points from 3.94% a year earlier and up 11.88 percentage points from the prior quarter.
Clearfield (CLFD) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Clearfield's Return on Sales [ROS] was -0.24% through Jun 30, 2026, down 2.10 percentage points year-over-year; for FY2025 (ended Sep 30, 2025), it was 1.41%, up 16.73 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of -7.60 percentage points (FY2020 to FY2025).
- In earlier fiscal years, Return on Sales [ROS] was -15.32% in FY2024 (-31.97 pp), 16.65% in FY2023 (-6.91 pp), 23.56% in FY2022 (+5.63 pp) and 17.93% in FY2021 (+8.92 pp).
- The fiscal Q3 2026 figure marks the highest quarterly Return on Sales [ROS] since fiscal Q4 2024.
- Compared with a year earlier, Return on Sales [ROS] was higher in five of the last eight quarters, with an average year-over-year change of +2.73 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q2 2025 (a gain of 30.53 percentage points); the worst was fiscal Q1 2024 (a drop of 44.66 percentage points).
- Per Business Quant data, CLFD's Return on Sales [ROS] in the three fiscal quarters before Q3 2026 was -6.02% (Q2 2026), -5.31% (Q1 2026) and 2.32% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Apple | 4,825.63 Bn | 4,573.12 Bn | 54.77 Bn | 32.62% |
| 2 | Cisco Systems | 429.17 Bn | 365.10 Bn | 11.06 Bn | 24.72% |
| 3 | Dell Technologies | 346.69 Bn | 302.44 Bn | 9.83 Bn | 11.46% |
| 4 | Sandisk | 261.00 Bn | 249.52 Bn | 7.58 Bn | 78.49% |
| 5 | Arista Networks | 257.88 Bn | 211.33 Bn | 1.91 Bn | 45.39% |
| 6 | Seagate Technology Holdings | 214.45 Bn | 209.44 Bn | 1.90 Bn | 42.96% |
| 7 | Western Digital | 166.98 Bn | 155.11 Bn | 2.03 Bn | 41.71% |
| 8 | Sony | 144.46 Bn | 94.85 Bn | 6.53 Bn | 16.79% |
| 9 | Lumentum Holdings | 92.66 Bn | 84.47 Bn | 477.30 Mn | 27.76% |
| 10 | Clearfield | 437.44 Mn | 42.73 Mn | 13.94 Mn | 5.86% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.86% |
| Mar 31, 2026 | -6.02% |
| Dec 31, 2025 | -5.31% |
| Sep 30, 2025 | 2.32% |
| Jun 30, 2025 | 3.94% |
| Mar 31, 2025 | 4.14% |
| Dec 31, 2024 | -6.89% |
| Sep 30, 2024 | 17.30% |
| Jun 30, 2024 | -4.73% |
| Mar 31, 2024 | -26.39% |
| Dec 31, 2023 | -23.84% |
| Sep 30, 2023 | 30.00% |
| Jun 30, 2023 | 9.18% |
| Mar 31, 2023 | 16.79% |
| Dec 31, 2022 | 20.82% |
| Sep 30, 2022 | 23.41% |
| Jun 30, 2022 | 23.28% |
| Mar 31, 2022 | 22.30% |
| Dec 31, 2021 | 25.53% |
| Sep 30, 2021 | 20.71% |
Clearfield Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=CLFD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=CLFD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();