Specificity (SPTY) Net Margin (2021 - 2026)
Specificity's Net Margin came in at -37.65% for Q2 2026, down 7.69 percentage points from -29.96% a year earlier but up 37.15 percentage points from the prior quarter.
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Analysis
Specificity (SPTY) Net Margin (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Specificity reported Net Margin of -58.40%, up 22.98 percentage points year-over-year; for FY2025, it came in at -50.81%, up 11.27 percentage points from FY2024.
- Net Margin has increased in each of the last three years, with a five-year change of +29.49 percentage points (FY2020 to FY2025).
- Going back by year, Net Margin was -62.08% in FY2024 (+35.47 pp), -97.54% in FY2023 (+222.01 pp), -319.55% in FY2022 (-1.61 pp) and -317.94% in FY2021 (-237.64 pp).
- The five-year range for quarterly Net Margin is -492.57% (Q1 2022) to -9.15% (Q1 2024).
- Year-over-year, Net Margin increased in two of the last eight quarters, with an average year-over-year change of -6.74 percentage points.
- The fastest year-over-year change in Net Margin over five years came in Q3 2023 (a gain of 451.63 percentage points), and the weakest in Q3 2022 (a drop of 385.26 percentage points).
- Business Quant data shows SPTY's Net Margin at -74.80% (Q1 2026), -99.81% (Q4 2025) and -26.34% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 404.43 Bn | 369.25 Bn | 1.93 Bn | 48.76% |
| 2 | Oracle | 355.53 Bn | 227.67 Bn | - | 24.19% |
| 3 | Sap Se | 273.98 Bn | 227.60 Bn | - | - |
| 4 | Salesforce | 174.33 Bn | 130.20 Bn | 8.70 Bn | 31.08% |
| 5 | Automatic Data Processing | 117.87 Bn | 104.66 Bn | 2.53 Bn | 20.49% |
| 6 | ServiceNow | 104.89 Bn | 84.15 Bn | 2.90 Bn | 6.75% |
| 7 | Intuit | 93.22 Bn | 72.57 Bn | 3.44 Bn | 8.34% |
| 8 | Relx | 72.75 Bn | 71.83 Bn | - | - |
| 9 | Strategy | 49.49 Bn | 36.63 Bn | 89.63 Mn | 15,243.08% |
| 10 | Specificity | 2.47 Mn | 2.43 Mn | 118,436.00 | -37.65% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -37.65% |
| Mar 31, 2026 | -74.80% |
| Dec 31, 2025 | -99.81% |
| Sep 30, 2025 | -26.34% |
| Jun 30, 2025 | -29.96% |
| Mar 31, 2025 | -47.04% |
| Dec 31, 2024 | -212.60% |
| Sep 30, 2024 | -104.95% |
| Jun 30, 2024 | -20.69% |
| Mar 31, 2024 | -9.15% |
| Dec 31, 2023 | -131.04% |
| Sep 30, 2023 | -23.85% |
| Jun 30, 2023 | -114.76% |
| Mar 31, 2023 | -116.47% |
| Dec 31, 2022 | -51.07% |
| Sep 30, 2022 | -475.48% |
| Jun 30, 2022 | -98.40% |
| Mar 31, 2022 | -492.57% |
| Dec 31, 2021 | -361.59% |
| Sep 30, 2021 | -90.21% |
API Access
Specificity Net Margin 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=net-margin&ticker=SPTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=SPTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();