Blackbaud (BLKB) Research & Development (2009 - 2026)
Blackbaud (BLKB) recorded Research & Development of $34.86 million in Q2 2026, up 3.8% from $33.6 million a year earlier but down 5.6% from the prior quarter.
Blackbaud (BLKB) Research & Development (2009 - 2026) Analysis & Trends
On a TTM basis, Blackbaud's Research & Development came in at $142.75 million as of Jun 30, 2026, unchanged year-over-year; for FY2025, it was $138.13 million, down 10.1% from FY2024.
- Annual Research & Development has a five-year compound annual growth rate of 6.6% (FY2020 to FY2025).
- Across earlier years, Research & Development came in at $153.68 million in FY2024 (+4.2%), $147.47 million in FY2023 (-6.0%), $156.91 million in FY2022 (+26.0%) and $124.57 million in FY2021 (+24.4%).
- Quarterly Research & Development has ranged from $31.57 million in Q3 2021 to $40.7 million in Q1 2024 over the past five years.
- On a year-over-year basis, Research & Development rose in three of the last eight quarters, with an average decline of 1.4%.
- Peak year-over-year performance for Research & Development in the last five years was growth of 38.6% in Q3 2021, against a decline of 17.5% in Q1 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $36.92 million (Q1 2026), $33.78 million (Q4 2025) and $37.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | R&D (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 192.51 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 2.40 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -2.14 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 1.69 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 915.00 Mn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 265.90 Mn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 857.00 Mn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 23.10 Mn |
| 10 | Blackbaud | 1.93 Bn | 1.78 Bn | 178.16 Mn | 34.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 34.86 Mn |
| Mar 31, 2026 | 36.92 Mn |
| Dec 31, 2025 | 33.78 Mn |
| Sep 30, 2025 | 37.20 Mn |
| Jun 30, 2025 | 33.60 Mn |
| Mar 31, 2025 | 33.56 Mn |
| Dec 31, 2024 | 37.64 Mn |
| Sep 30, 2024 | 37.92 Mn |
| Jun 30, 2024 | 37.40 Mn |
| Mar 31, 2024 | 40.70 Mn |
| Dec 31, 2023 | 32.77 Mn |
| Sep 30, 2023 | 37.97 Mn |
| Jun 30, 2023 | 36.15 Mn |
| Mar 31, 2023 | 40.59 Mn |
| Dec 31, 2022 | 38.18 Mn |
| Sep 30, 2022 | 40.45 Mn |
| Jun 30, 2022 | 38.33 Mn |
| Mar 31, 2022 | 39.95 Mn |
| Dec 31, 2021 | 33.61 Mn |
| Sep 30, 2021 | 31.57 Mn |
Blackbaud Research & Development 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=research-and-development&ticker=BLKB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "research-and-development", "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=research-and-development&ticker=BLKB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();