Specificity (SPTY) Gross Margin (2021 - 2026)
Specificity (SPTY) reported Gross Margin of 36.78% for Q2 2026, down 5.04 percentage points from 41.82% a year earlier but up 3.81 percentage points from the prior quarter.
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Analysis
Specificity (SPTY) Gross Margin (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Specificity's Gross Margin came in at 35.21%, down 0.84 percentage points year-over-year; for FY2025, it came in at 40.37%, down 6.89 percentage points from FY2024.
- Gross Margin has a five-year change of -42.42 percentage points (FY2020 to FY2025).
- By year, Gross Margin came in at 47.26% in FY2024 (-2.74 pp), 50.00% in FY2023 (+14.76 pp), 35.24% in FY2022 (-15.03 pp) and 50.27% in FY2021 (-32.52 pp).
- Five-year quarterly Gross Margin spans a low of 5.36% in Q4 2022 and a high of 80.30% in Q3 2023.
- Year over year, Gross Margin gained in two of the last eight quarters, with an average year-over-year change of -13.20 percentage points.
- The high point for year-over-year Gross Margin in five years was Q4 2023 (a gain of 43.77 percentage points); the low point was Q3 2024 (a drop of 56.72 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 32.97% (Q1 2026), 27.95% (Q4 2025) and 42.78% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Gross Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 462.03 Bn | 430.98 Bn | 1.64 Bn | 84.66% |
| 2 | Oracle | 387.48 Bn | 259.61 Bn | - | - |
| 3 | Sap Se | 266.80 Bn | 194.59 Bn | 8.40 Bn | 73.17% |
| 4 | Salesforce | 199.03 Bn | 154.91 Bn | 8.70 Bn | 76.65% |
| 5 | ServiceNow | 154.48 Bn | 132.94 Bn | 2.82 Bn | 70.68% |
| 6 | Automatic Data Processing | 117.71 Bn | 99.83 Bn | 2.51 Bn | 45.88% |
| 7 | Intuit | 92.43 Bn | 71.78 Bn | 3.44 Bn | 79.10% |
| 8 | Relx | 72.15 Bn | 71.24 Bn | - | - |
| 9 | Thomson Reuters | 50.59 Bn | 47.38 Bn | - | - |
| 10 | Specificity | 4.62 Mn | 4.58 Mn | 118,436.00 | 36.78% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 36.78% |
| Mar 31, 2026 | 32.97% |
| Dec 31, 2025 | 27.95% |
| Sep 30, 2025 | 42.78% |
| Jun 30, 2025 | 41.82% |
| Mar 31, 2025 | 48.07% |
| Dec 31, 2024 | 18.97% |
| Sep 30, 2024 | 23.58% |
| Jun 30, 2024 | 45.40% |
| Mar 31, 2024 | 71.25% |
| Dec 31, 2023 | 49.13% |
| Sep 30, 2023 | 80.30% |
| Jun 30, 2023 | 30.37% |
| Mar 31, 2023 | 39.03% |
| Dec 31, 2022 | 5.36% |
| Sep 30, 2022 | 70.86% |
| Jun 30, 2022 | 70.86% |
| Mar 31, 2022 | 44.29% |
| Dec 31, 2021 | 36.70% |
| Sep 30, 2021 | 59.08% |
API Access
Specificity Gross 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=gross-margin&ticker=SPTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "gross-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=gross-margin&ticker=SPTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();