Blackbaud (BLKB) Price to Earnings (2010 - 2026)
Blackbaud's Price to Earnings came in at 8.95 for Q2 2026, down 29.0% from the prior quarter.
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Analysis
Blackbaud (BLKB) Price to Earnings (2010 - 2026) Analysis & Trends
For FY2025, Blackbaud's Price to Earnings was 25.72.
- Going back by year, Price to Earnings was 1540.53 in FY2023 and 720.30 in FY2021 (+99.6%).
- The Q2 2026 figure represents the lowest quarterly Price to Earnings in data going back to Q1 2010.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 453.55 Bn | 422.61 Bn | 1.64 Bn |
| 2 | Oracle | 430.98 Bn | 303.54 Bn | - |
| 3 | Sap Se | 256.23 Bn | 177.31 Bn | 8.40 Bn |
| 4 | Salesforce | 193.08 Bn | 148.96 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.94 Bn | 117.40 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.51 Bn | 84.63 Bn | 2.51 Bn |
| 7 | Intuit | 75.44 Bn | 54.79 Bn | 3.44 Bn |
| 8 | Relx | 60.79 Bn | 57.76 Bn | - |
| 9 | Strategy | 56.32 Bn | 49.31 Bn | 81.55 Mn |
| 10 | Blackbaud | 1.90 Bn | 1.75 Bn | 178.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.95 |
| Mar 31, 2026 | 12.61 |
| Dec 31, 2025 | 25.72 |
| Sep 30, 2024 | 80.60 |
| Jun 30, 2024 | 89.04 |
| Mar 31, 2024 | 152.94 |
| Dec 31, 2023 | 1,540.53 |
| Dec 31, 2021 | 720.30 |
| Mar 31, 2021 | 1,190.82 |
| Dec 31, 2020 | 360.87 |
| Sep 30, 2020 | 122.12 |
| Jun 30, 2020 | 126.60 |
| Mar 31, 2020 | 156.01 |
| Dec 31, 2019 | 328.50 |
| Sep 30, 2019 | 223.09 |
| Jun 30, 2019 | 154.85 |
| Mar 31, 2019 | 151.02 |
| Dec 31, 2018 | 68.13 |
| Sep 30, 2018 | 68.32 |
| Jun 30, 2018 | 67.44 |
API Access
Blackbaud Price to Earnings 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=price-to-earnings&ticker=BLKB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=BLKB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();