Blackbaud (BLKB) Return on Capital Employed [ROCE] (2010 - 2026)
Blackbaud (BLKB) recorded Return on Capital Employed [ROCE] of 22.70% in Q2 2026, up 47.97 percentage points from -25.27% a year earlier and up 6.61 percentage points from the prior quarter.
Blackbaud (BLKB) Return on Capital Employed [ROCE] (2010 - 2026) Analysis & Trends
For FY2025, Blackbaud reported Return on Capital Employed [ROCE] of 15.12%, up 33.81 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of +11.42 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -18.69% in FY2024 (-21.33 pp), 2.64% in FY2023 (+4.27 pp), -1.63% in FY2022 (-3.41 pp) and 1.78% in FY2021 (-1.92 pp).
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] since Q2 2012.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased for three consecutive quarters, with an average year-over-year change of +3.27 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 47.97 percentage points in Q2 2026, against a drop of 32.92 percentage points in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 16.08% (Q1 2026), 17.90% (Q4 2025) and -16.39% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn | 28.02% |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - | 9.81% |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn | 33.74% |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn | 10.68% |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn | 10.59% |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn | -46.62% |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn | 21.09% |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn | -68.70% |
| 10 | Blackbaud | 1.90 Bn | 1.75 Bn | 178.16 Mn | 22.70% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 22.70% |
| Mar 31, 2026 | 16.08% |
| Dec 31, 2025 | 17.90% |
| Sep 30, 2025 | -16.39% |
| Jun 30, 2025 | -25.27% |
| Mar 31, 2025 | -18.47% |
| Dec 31, 2024 | -20.93% |
| Sep 30, 2024 | 6.98% |
| Jun 30, 2024 | 7.65% |
| Mar 31, 2024 | 3.72% |
| Dec 31, 2023 | 2.97% |
| Sep 30, 2023 | -0.17% |
| Jun 30, 2023 | -2.14% |
| Mar 31, 2023 | -1.66% |
| Dec 31, 2022 | -1.80% |
| Sep 30, 2022 | -1.05% |
| Jun 30, 2022 | -0.04% |
| Mar 31, 2022 | 0.60% |
| Dec 31, 2021 | 2.07% |
| Sep 30, 2021 | 2.74% |
Blackbaud Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=BLKB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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-capital-employed-%5Broce%5D&ticker=BLKB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();