Specificity (SPTY) Return on Capital Employed [ROCE] (2021 - 2026)
Specificity's Return on Capital Employed [ROCE] was -171.95% in Q2 2026, up 113.06 percentage points from -285.01% a year earlier but down 38.85 percentage points from the prior quarter.
Specificity (SPTY) Return on Capital Employed [ROCE] (2021 - 2026) Analysis & Trends
For FY2025, Return on Capital Employed [ROCE] at Specificity came in at -126.75%.
- Return on Capital Employed [ROCE] shows a four-year change of +446.57 percentage points (FY2021 to FY2025).
- In earlier years, Return on Capital Employed [ROCE] was -6999.74% in FY2022 (-6426.42 pp) and -573.32% in FY2021.
- Quarterly Return on Capital Employed [ROCE] has moved between -6579.29% (Q4 2022) and -120.77% (Q4 2025) over five years.
- Per Business Quant data, SPTY's Return on Capital Employed [ROCE] in the three quarters before Q2 2026 was -133.11% (Q1 2026), -120.77% (Q4 2025) and -177.10% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 471.42 Bn | 440.37 Bn | 1.64 Bn | 28.02% |
| 2 | Oracle | 373.75 Bn | 245.88 Bn | - | 9.81% |
| 3 | Sap Se | 277.47 Bn | 205.25 Bn | 8.40 Bn | 34.43% |
| 4 | Salesforce | 203.26 Bn | 159.13 Bn | 8.70 Bn | 10.68% |
| 5 | ServiceNow | 163.61 Bn | 142.07 Bn | 2.82 Bn | 10.59% |
| 6 | Automatic Data Processing | 122.45 Bn | 104.58 Bn | 2.51 Bn | -46.62% |
| 7 | Intuit | 94.72 Bn | 74.07 Bn | 3.44 Bn | 21.09% |
| 8 | Relx | 74.34 Bn | 73.43 Bn | - | - |
| 9 | Thomson Reuters | 55.22 Bn | 52.00 Bn | - | - |
| 10 | Specificity | 5.77 Mn | 5.73 Mn | 118,436.00 | -171.95% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -171.95% |
| Mar 31, 2026 | -133.11% |
| Dec 31, 2025 | -120.77% |
| Sep 30, 2025 | -177.10% |
| Jun 30, 2025 | -285.01% |
| Mar 31, 2025 | -225.19% |
| Dec 31, 2022 | -6,579.29% |
| Sep 30, 2022 | -939.10% |
| Jun 30, 2022 | -1,485.28% |
| Mar 31, 2022 | -511.06% |
| Dec 31, 2021 | -612.85% |
Specificity 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=SPTY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "SPTY", "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=SPTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();