Specificity (SPTY) Return on Assets [ROA] (2021 - 2026)
Specificity's Return on Assets [ROA] came in at -40.57% for Q2 2026, up 7.20 percentage points from -47.77% a year earlier but down 2.39 percentage points from the prior quarter.
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Analysis
Specificity (SPTY) Return on Assets [ROA] (2021 - 2026) Analysis & Trends
For FY2025, Specificity's Return on Assets [ROA] was -35.58%, up 39.07 percentage points from FY2024.
- Return on Assets [ROA] has increased in each of the last three years, with a four-year change of +439.20 percentage points (FY2021 to FY2025).
- Going back by year, Return on Assets [ROA] was -74.65% in FY2024 (+782.10 pp), -856.74% in FY2023 (+6.48 pp), -863.22% in FY2022 (-388.45 pp) and -474.78% in FY2021.
- The five-year range for quarterly Return on Assets [ROA] is -2375.82% (Q2 2024) to -35.25% (Q4 2025).
- Year-over-year, Return on Assets [ROA] has increased for seven consecutive quarters, with an average year-over-year change of +714.74 percentage points over the last eight quarters.
- The fastest year-over-year change in Return on Assets [ROA] over five years came in Q2 2025 (a gain of 2328.05 percentage points), and the weakest in Q2 2024 (a drop of 1063.92 percentage points).
- Business Quant data shows SPTY's Return on Assets [ROA] at -38.18% (Q1 2026), -35.25% (Q4 2025) and -37.59% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 471.42 Bn | 440.37 Bn | 1.64 Bn | 27.71% |
| 2 | Oracle | 373.75 Bn | 245.88 Bn | - | 6.70% |
| 3 | Sap Se | 277.47 Bn | 205.25 Bn | 8.40 Bn | 11.08% |
| 4 | Salesforce | 203.26 Bn | 159.13 Bn | 8.70 Bn | 8.95% |
| 5 | ServiceNow | 163.61 Bn | 142.07 Bn | 2.82 Bn | 5.96% |
| 6 | Automatic Data Processing | 122.45 Bn | 104.58 Bn | 2.51 Bn | 6.91% |
| 7 | Intuit | 94.72 Bn | 74.07 Bn | 3.44 Bn | 12.00% |
| 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 | -40.57% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -40.57% |
| Mar 31, 2026 | -38.18% |
| Dec 31, 2025 | -35.25% |
| Sep 30, 2025 | -37.59% |
| Jun 30, 2025 | -47.77% |
| Mar 31, 2025 | -46.00% |
| Dec 31, 2024 | -76.57% |
| Sep 30, 2024 | -2,198.80% |
| Jun 30, 2024 | -2,375.82% |
| Mar 31, 2024 | -1,378.27% |
| Dec 31, 2023 | -692.09% |
| Sep 30, 2023 | -1,423.31% |
| Jun 30, 2023 | -1,311.89% |
| Mar 31, 2023 | -1,361.78% |
| Dec 31, 2022 | -918.29% |
| Sep 30, 2022 | -609.78% |
| Jun 30, 2022 | -725.45% |
| Mar 31, 2022 | -402.66% |
| Dec 31, 2021 | -500.98% |
API Access
Specificity Return on Assets [ROA] 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-assets-%5Broa%5D&ticker=SPTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-assets-[roa]", "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-assets-%5Broa%5D&ticker=SPTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();