Specificity (SPTY) Cost of Revenue (2021 - 2026)
Specificity (SPTY) posted Cost of Revenue of $203,583 for Q2 2026, up 31.4% from $154,929 a year earlier and up 24.5% from the prior quarter.
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Analysis
Specificity (SPTY) Cost of Revenue (2021 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cost of Revenue at Specificity was $707,524, up 20.0% year-over-year; for FY2025, it was $650,188, up 24.4% from FY2024.
- Annual Cost of Revenue shows a five-year compound annual growth rate of 109.3% (FY2020 to FY2025).
- In prior years, Specificity's Cost of Revenue was $522,715 in FY2024 (-4.7%), $548,278 in FY2023 (-28.4%), $765,888 in FY2022 (+105.6%) and $372,455 in FY2021.
- The Q2 2026 figure stands as the highest quarterly Cost of Revenue since Q4 2022.
- On a year-over-year basis, Cost of Revenue has increased in each of the last three quarters, with growth averaging 40.4% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was Q4 2022, with growth of 282.2%; the weakest was Q4 2023, with a decline of 66.6%.
- According to Business Quant data, Cost of Revenue for the three prior quarters was $163,458 (Q1 2026), $191,684 (Q4 2025) and $148,799 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 296.87 Mn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 3.08 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 2.65 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 1.17 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | 2.96 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 910.00 Mn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | 40.82 Mn |
| 10 | Specificity | 4.45 Mn | 4.40 Mn | 118,436.00 | 203,583.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 203,583.00 |
| Mar 31, 2026 | 163,458.00 |
| Dec 31, 2025 | 191,684.00 |
| Sep 30, 2025 | 148,799.00 |
| Jun 30, 2025 | 154,929.00 |
| Mar 31, 2025 | 154,776.00 |
| Dec 31, 2024 | 116,620.00 |
| Sep 30, 2024 | 163,300.00 |
| Jun 30, 2024 | 128,136.00 |
| Mar 31, 2024 | 114,659.00 |
| Dec 31, 2023 | 168,554.00 |
| Sep 30, 2023 | 53,374.00 |
| Jun 30, 2023 | 200,522.00 |
| Mar 31, 2023 | 125,828.00 |
| Dec 31, 2022 | 504,638.00 |
| Sep 30, 2022 | 110,360.00 |
| Jun 30, 2022 | 110,360.00 |
| Mar 31, 2022 | 150,890.00 |
| Dec 31, 2021 | 132,037.00 |
| Sep 30, 2021 | 87,614.00 |
API Access
Specificity Cost of Revenue 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=cost-of-revenue&ticker=SPTY&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=SPTY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();