Ckx Lands (CKX) Return on Capital Employed [ROCE] (2011 - 2026)
Ckx Lands (CKX) posted Return on Capital Employed [ROCE] of 15.11% for Q2 2026, up 14.23 percentage points from 0.88% a year earlier but down 0.88 percentage points from the prior quarter.
Ckx Lands (CKX) Return on Capital Employed [ROCE] (2011 - 2026) Analysis & Trends
For FY2025, Ckx Lands' Return on Capital Employed [ROCE] came in at 18.36%, up 17.73 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +15.95 percentage points (FY2020 to FY2025).
- In prior years, Ckx Lands' Return on Capital Employed [ROCE] was 0.63% in FY2024 (-0.06 pp), 0.69% in FY2023 (+11.46 pp), -10.77% in FY2022 (-17.25 pp) and 6.47% in FY2021 (+4.07 pp).
- Quarterly Return on Capital Employed [ROCE] has run from a low of -12.40% in Q1 2023 to a high of 18.21% in Q4 2025 over five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last three quarters, with an average year-over-year change of +7.04 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q4 2025, with a gain of 17.58 percentage points; the weakest was Q4 2022, with a drop of 17.05 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was 15.99% (Q1 2026), 18.21% (Q4 2025) and 1.65% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Texas Pacific Land | 23.22 Bn | 22.04 Bn | - | 39.30% |
| 2 | Eason Technology | 6.48 Bn | 6.48 Bn | - | - |
| 3 | LandBridge | 6.20 Bn | 6.55 Bn | 65.71 Mn | 10.17% |
| 4 | Millrose Properties | 3.89 Bn | 3.89 Bn | - | - |
| 5 | St Joe | 3.72 Bn | 3.22 Bn | 73.42 Mn | - |
| 6 | Vesta Real Estate Corporation, S.A.B. de C.V | 2.82 Bn | 2.82 Bn | - | 6.08% |
| 7 | Opendoor Technologies | 2.32 Bn | -1.49 Bn | 86.00 Mn | -30.88% |
| 8 | Forestar | 1.33 Bn | -21.59 Mn | 84.10 Mn | - |
| 9 | Five Point Holdings | 677.43 Mn | 706.20 Mn | -23.72 Mn | - |
| 10 | Ckx Lands | 21.60 Mn | 21.60 Mn | 165,707.00 | 15.11% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.11% |
| Mar 31, 2026 | 15.99% |
| Dec 31, 2025 | 18.21% |
| Sep 30, 2025 | 1.65% |
| Jun 30, 2025 | 0.88% |
| Mar 31, 2025 | 3.28% |
| Dec 31, 2024 | 0.63% |
| Sep 30, 2024 | 2.95% |
| Jun 30, 2024 | 3.14% |
| Mar 31, 2024 | 0.15% |
| Dec 31, 2023 | 0.68% |
| Sep 30, 2023 | -9.31% |
| Jun 30, 2023 | -9.95% |
| Mar 31, 2023 | -12.40% |
| Dec 31, 2022 | -10.73% |
| Sep 30, 2022 | -1.78% |
| Jun 30, 2022 | 0.44% |
| Mar 31, 2022 | 3.65% |
| Dec 31, 2021 | 6.33% |
| Sep 30, 2021 | 6.03% |
Ckx Lands Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=CKX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=CKX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();