Specificity (SPTY) EBITDA Margin (2022 - 2026)
Specificity's EBITDA Margin was -19.21% in Q2 2026, up 5.85 percentage points from -25.06% a year earlier and up 34.74 percentage points from the prior quarter.
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Analysis
Specificity (SPTY) EBITDA Margin (2022 - 2026) Analysis & Trends
On a trailing twelve-month basis, Specificity's EBITDA Margin was -33.74% through Jun 30, 2026, up 41.61 percentage points year-over-year; for FY2025, it came in at -33.82%, up 16.08 percentage points from FY2024.
- EBITDA Margin has now increased for four consecutive years, with a four-year change of +277.35 percentage points (FY2021 to FY2025).
- In earlier years, EBITDA Margin was -49.90% in FY2024 (+16.35 pp), -66.26% in FY2023 (+244.87 pp), -311.13% in FY2022 (+0.04 pp) and -311.17% in FY2021.
- The Q2 2026 figure marks the highest quarterly EBITDA Margin since Q2 2024.
- Compared with a year earlier, EBITDA Margin was higher in three of the last eight quarters, with an average year-over-year change of -7.39 percentage points.
- The best year-over-year quarter for EBITDA Margin over five years was Q1 2023 (a gain of 386.18 percentage points); the worst was Q4 2024 (a drop of 133.31 percentage points).
- Per Business Quant data, SPTY's EBITDA Margin in the three quarters before Q2 2026 was -53.95% (Q1 2026), -46.61% (Q4 2025) and -19.61% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 479.32 Bn | 448.27 Bn | 1.64 Bn | 47.55% |
| 2 | Oracle | 385.45 Bn | 257.58 Bn | - | 52.36% |
| 3 | Sap Se | 269.29 Bn | 197.07 Bn | 8.40 Bn | 29.96% |
| 4 | Salesforce | 198.89 Bn | 154.76 Bn | 8.70 Bn | 34.25% |
| 5 | ServiceNow | 157.30 Bn | 135.76 Bn | 2.82 Bn | 18.59% |
| 6 | Automatic Data Processing | 118.43 Bn | 100.56 Bn | 2.51 Bn | -25.13% |
| 7 | Intuit | 92.23 Bn | 71.58 Bn | 3.44 Bn | 15.92% |
| 8 | Relx | 70.93 Bn | 70.02 Bn | - | - |
| 9 | Strategy | 54.55 Bn | 47.54 Bn | 81.55 Mn | -6,793.01% |
| 10 | Specificity | 4.98 Mn | 4.93 Mn | 118,436.00 | -19.21% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -19.21% |
| Mar 31, 2026 | -53.95% |
| Dec 31, 2025 | -46.61% |
| Sep 30, 2025 | -19.61% |
| Jun 30, 2025 | -25.06% |
| Mar 31, 2025 | -42.63% |
| Dec 31, 2024 | -202.03% |
| Sep 30, 2024 | -98.34% |
| Jun 30, 2024 | -14.67% |
| Mar 31, 2024 | 10.20% |
| Dec 31, 2023 | -55.14% |
| Sep 30, 2023 | -5.23% |
| Jun 30, 2023 | -93.71% |
| Mar 31, 2023 | -101.67% |
| Dec 31, 2022 | -383.26% |
| Sep 30, 2022 | -95.11% |
| Jun 30, 2022 | -94.44% |
| Mar 31, 2022 | -487.85% |
API Access
Specificity EBITDA 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=ebitda-margin&ticker=SPTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-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=ebitda-margin&ticker=SPTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();