Ckx Lands (CKX) Return on Sales [ROS] (2010 - 2026)
Ckx Lands (CKX) posted Return on Sales [ROS] of 13.70% for Q2 2026, down 103.76 percentage points from 117.46% a year earlier but up 57.55 percentage points from the prior quarter.
Ckx Lands (CKX) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at Ckx Lands was 478.45%, up 457.00 percentage points year-over-year; for FY2025, it came in at 434.22%, up 426.53 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of +377.81 percentage points (FY2020 to FY2025).
- In prior years, Ckx Lands' Return on Sales [ROS] was 7.69% in FY2024 (-0.51 pp), 8.20% in FY2023 (+174.87 pp), -166.67% in FY2022 (-309.48 pp) and 142.81% in FY2021 (+86.40 pp).
- Quarterly Return on Sales [ROS] has run from a low of -507.82% in Q4 2022 to a high of 2673.58% in Q4 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of +360.45 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q4 2025, with a gain of 2715.45 percentage points; the weakest was Q4 2022, with a drop of 558.82 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -43.85% (Q1 2026), 2673.58% (Q4 2025) and 48.72% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.22 Bn | 22.04 Bn | - | 77.96% |
| 2 | Eason Technology | 6.48 Bn | 6.48 Bn | - | - |
| 3 | LandBridge | 6.20 Bn | 6.55 Bn | 65.71 Mn | 66.07% |
| 4 | Millrose Properties | 3.89 Bn | 3.89 Bn | - | 85.16% |
| 5 | St Joe | 3.72 Bn | 3.22 Bn | 73.42 Mn | 34.49% |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.82 Bn | 2.82 Bn | - | 91.08% |
| 7 | Opendoor Technologies | 2.32 Bn | -1.49 Bn | 86.00 Mn | -16.31% |
| 8 | Forestar | 1.33 Bn | -21.59 Mn | 84.10 Mn | 11.25% |
| 9 | Five Point Holdings | 677.43 Mn | 706.20 Mn | -23.72 Mn | -325.18% |
| 10 | Ckx Lands | 21.60 Mn | 21.60 Mn | 165,707.00 | 13.70% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.70% |
| Mar 31, 2026 | -43.85% |
| Dec 31, 2025 | 2,673.58% |
| Sep 30, 2025 | 48.72% |
| Jun 30, 2025 | 117.46% |
| Mar 31, 2025 | 32.21% |
| Dec 31, 2024 | -41.87% |
| Sep 30, 2024 | -9.89% |
| Jun 30, 2024 | 62.89% |
| Mar 31, 2024 | -307.80% |
| Dec 31, 2023 | 51.96% |
| Sep 30, 2023 | 1.47% |
| Jun 30, 2023 | 27.57% |
| Mar 31, 2023 | -206.81% |
| Dec 31, 2022 | -507.82% |
| Sep 30, 2022 | -29.48% |
| Jun 30, 2022 | -98.43% |
| Mar 31, 2022 | -1.12% |
| Dec 31, 2021 | 51.00% |
| Sep 30, 2021 | 160.02% |
Ckx Lands 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=CKX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "CKX", "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=CKX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();