Blackbaud (BLKB) Return on Sales [ROS] (2009 - 2026)
Blackbaud's Return on Sales [ROS] was 21.34% in Q2 2026, up 1.01 percentage points from 20.33% a year earlier and up 3.04 percentage points from the prior quarter.
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Analysis
Blackbaud (BLKB) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Blackbaud's Return on Sales [ROS] was 19.79% through Jun 30, 2026, up 41.62 percentage points year-over-year; for FY2025, it was 16.91%, up 40.41 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +12.83 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was -23.50% in FY2024 (-27.69 pp), 4.19% in FY2023 (+6.88 pp), -2.69% in FY2022 (-5.38 pp) and 2.68% in FY2021 (-1.39 pp).
- The Q2 2026 figure marks the highest quarterly Return on Sales [ROS] in data going back to Q2 2009.
- Compared with a year earlier, Return on Sales [ROS] has increased for six straight quarters, with an average year-over-year change of +5.06 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2025 (a gain of 141.60 percentage points); the worst was Q4 2024 (a drop of 133.02 percentage points).
- Per Business Quant data, BLKB's Return on Sales [ROS] in the three quarters before Q2 2026 was 18.30% (Q1 2026), 20.03% (Q4 2025) and 19.41% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 47.12% |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 34.78% |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 26.76% |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 20.55% |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 4.06% |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | -33.33% |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 10.91% |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -6,808.11% |
| 10 | Blackbaud | 1.90 Bn | 1.75 Bn | 178.16 Mn | 21.34% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 21.34% |
| Mar 31, 2026 | 18.30% |
| Dec 31, 2025 | 20.03% |
| Sep 30, 2025 | 19.41% |
| Jun 30, 2025 | 20.33% |
| Mar 31, 2025 | 7.30% |
| Dec 31, 2024 | -121.57% |
| Sep 30, 2024 | 14.36% |
| Jun 30, 2024 | 14.41% |
| Mar 31, 2024 | 4.77% |
| Dec 31, 2023 | 11.45% |
| Sep 30, 2023 | 7.94% |
| Jun 30, 2023 | 0.11% |
| Mar 31, 2023 | -3.80% |
| Dec 31, 2022 | -5.66% |
| Sep 30, 2022 | -2.68% |
| Jun 30, 2022 | 0.02% |
| Mar 31, 2022 | -2.33% |
| Dec 31, 2021 | -2.67% |
| Sep 30, 2021 | 5.12% |
API Access
Blackbaud Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=BLKB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "BLKB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=BLKB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();