Specificity (SPTY) Operating Margin (2021 - 2026)
Specificity (SPTY) posted Operating Margin of -19.36% for Q2 2026, up 5.91 percentage points from -25.27% a year earlier and up 34.77 percentage points from the prior quarter.
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Analysis
Specificity (SPTY) Operating Margin (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Margin at Specificity was -33.91%, up 42.04 percentage points year-over-year; for FY2025, it came in at -34.02%, up 17.00 percentage points from FY2024.
- Annual Operating Margin has increased for three consecutive years, with a five-year change of +46.28 percentage points (FY2020 to FY2025).
- In prior years, Specificity's Operating Margin was -51.02% in FY2024 (+19.59 pp), -70.61% in FY2023 (+244.52 pp), -315.13% in FY2022 (-3.86 pp) and -311.26% in FY2021 (-230.97 pp).
- The Q2 2026 figure stands as the highest quarterly Operating Margin since Q2 2024.
- On a year-over-year basis, Operating Margin increased in three of the last eight quarters, with an average year-over-year change of -6.23 percentage points.
- The strongest year-over-year quarter for Operating Margin in the past five years was Q1 2023, with a gain of 381.20 percentage points; the weakest was Q4 2024, with a drop of 131.64 percentage points.
- According to Business Quant data, Operating Margin for the three prior quarters was -54.13% (Q1 2026), -46.78% (Q4 2025) and -19.81% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 462.03 Bn | 430.98 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 387.48 Bn | 259.61 Bn | - | 34.78% |
| 3 | Sap Se | 266.80 Bn | 194.59 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 199.03 Bn | 154.91 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 154.48 Bn | 132.94 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 117.71 Bn | 99.83 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 92.43 Bn | 71.78 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 72.15 Bn | 71.24 Bn | - | - |
| 9 | Thomson Reuters | 50.59 Bn | 47.38 Bn | - | 28.56% |
| 10 | Specificity | 4.62 Mn | 4.58 Mn | 118,436.00 | -19.36% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -19.36% |
| Mar 31, 2026 | -54.13% |
| Dec 31, 2025 | -46.78% |
| Sep 30, 2025 | -19.81% |
| Jun 30, 2025 | -25.27% |
| Mar 31, 2025 | -42.85% |
| Dec 31, 2024 | -203.92% |
| Sep 30, 2024 | -99.10% |
| Jun 30, 2024 | -15.36% |
| Mar 31, 2024 | 8.92% |
| Dec 31, 2023 | -72.28% |
| Sep 30, 2023 | -11.51% |
| Jun 30, 2023 | -97.88% |
| Mar 31, 2023 | -107.48% |
| Dec 31, 2022 | -383.21% |
| Sep 30, 2022 | -95.11% |
| Jun 30, 2022 | -95.11% |
| Mar 31, 2022 | -488.68% |
| Dec 31, 2021 | -354.59% |
| Sep 30, 2021 | -73.67% |
API Access
Specificity Operating 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=operating-margin&ticker=SPTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-margin&ticker=SPTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();