Blackbaud (BLKB) EBITDA (2009 - 2026)
Blackbaud's EBITDA was $82.76 million in Q2 2026, up 4.7% from $79.03 million a year earlier and up 14.9% from the prior quarter.
Blackbaud (BLKB) EBITDA (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Blackbaud's EBITDA was $311.34 million through Jun 30, 2026; for FY2025, it came in at $276.97 million.
- EBITDA shows a five-year compound annual growth rate of 16.3% (FY2020 to FY2025).
- In earlier years, EBITDA was -$149.71 million in FY2024, $155.84 million in FY2023 (+110.9%), $73.88 million in FY2022 (-31.2%) and $107.32 million in FY2021 (-17.4%).
- The Q2 2026 figure marks the highest quarterly EBITDA in data going back to Q3 2009.
- Compared with a year earlier, EBITDA was higher in five of the last six quarters, with growth averaging 22.2%.
- The best year-over-year quarter for EBITDA over five years was Q4 2023 (growth of 505.2%); the worst was Q3 2022 (a decline of 42.0%).
- Per Business Quant data, BLKB's EBITDA in the three quarters before Q2 2026 was $72 million (Q1 2026), $80.71 million (Q4 2025) and $75.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 462.03 Bn | 430.98 Bn | 1.64 Bn | 920.22 Mn |
| 2 | Oracle | 387.48 Bn | 259.61 Bn | - | 10.13 Bn |
| 3 | Sap Se | 266.80 Bn | 194.59 Bn | 8.40 Bn | 3.44 Bn |
| 4 | Salesforce | 199.03 Bn | 154.91 Bn | 8.70 Bn | 3.89 Bn |
| 5 | ServiceNow | 154.48 Bn | 132.94 Bn | 2.82 Bn | 741.00 Mn |
| 6 | Automatic Data Processing | 117.71 Bn | 99.83 Bn | 2.51 Bn | -1.38 Bn |
| 7 | Intuit | 92.43 Bn | 71.78 Bn | 3.44 Bn | 693.00 Mn |
| 8 | Relx | 72.15 Bn | 71.24 Bn | - | - |
| 9 | Thomson Reuters | 50.59 Bn | 47.38 Bn | - | 384.00 Mn |
| 10 | Blackbaud | 2.40 Bn | 2.25 Bn | 178.16 Mn | 83.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 83.54 Mn |
| Mar 31, 2026 | 72.48 Mn |
| Dec 31, 2025 | 81.25 Mn |
| Sep 30, 2025 | 76.47 Mn |
| Jun 30, 2025 | 79.68 Mn |
| Mar 31, 2025 | 42.05 Mn |
| Dec 31, 2024 | -336.48 Mn |
| Sep 30, 2024 | 73.01 Mn |
| Jun 30, 2024 | 72.49 Mn |
| Mar 31, 2024 | 43.74 Mn |
| Dec 31, 2023 | 62.21 Mn |
| Sep 30, 2023 | 50.47 Mn |
| Jun 30, 2023 | 27.11 Mn |
| Mar 31, 2023 | 17.83 Mn |
| Dec 31, 2022 | 10.75 Mn |
| Sep 30, 2022 | 18.88 Mn |
| Jun 30, 2022 | 26.40 Mn |
| Mar 31, 2022 | 20.21 Mn |
| Dec 31, 2021 | 15.64 Mn |
| Sep 30, 2021 | 31.94 Mn |
Blackbaud EBITDA 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&ticker=BLKB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=BLKB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();