Blackbaud (BLKB) Operating Expenses (2009 - 2026)
Blackbaud (BLKB) posted Operating Expenses of $116.15 million for Q2 2026, up 4.6% from $111.06 million a year earlier and up 0.9% from the prior quarter.
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Analysis
Blackbaud (BLKB) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Blackbaud was $457.32 million, down 48.8% year-over-year; for FY2025, it was $472.54 million, down 47.7% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 1.1% (FY2020 to FY2025).
- In prior years, Blackbaud's Operating Expenses was $902.8 million in FY2024 (+63.3%), $552.7 million in FY2023 (-4.9%), $581.2 million in FY2022 (+26.4%) and $459.64 million in FY2021 (+2.6%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q1 2025.
- On a year-over-year basis, Operating Expenses increased in two of the last eight quarters, with growth averaging 28.0%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2024, with growth of 337.8%; the weakest was Q4 2025, with a decline of 78.6%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $115.11 million (Q1 2026), $113.14 million (Q4 2025) and $112.92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Palantir Technologies | 450.50 Bn | 419.56 Bn | 1.64 Bn | 726.59 Mn |
| 2 | Oracle | 401.01 Bn | 273.57 Bn | - | 12.62 Bn |
| 3 | Sap Se | 257.03 Bn | 178.11 Bn | 8.40 Bn | -8.41 Bn |
| 4 | Salesforce | 187.04 Bn | 142.92 Bn | 8.70 Bn | 6.37 Bn |
| 5 | ServiceNow | 135.91 Bn | 114.37 Bn | 2.82 Bn | 2.66 Bn |
| 6 | Automatic Data Processing | 104.14 Bn | 86.27 Bn | 2.51 Bn | 4.34 Bn |
| 7 | Intuit | 72.30 Bn | 51.65 Bn | 3.44 Bn | 3.88 Bn |
| 8 | Relx | 60.17 Bn | 57.14 Bn | - | - |
| 9 | Strategy | 55.31 Bn | 48.30 Bn | 81.55 Mn | 8.41 Bn |
| 10 | Blackbaud | 1.93 Bn | 1.78 Bn | 178.16 Mn | 116.15 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 116.15 Mn |
| Mar 31, 2026 | 115.11 Mn |
| Dec 31, 2025 | 113.14 Mn |
| Sep 30, 2025 | 112.92 Mn |
| Jun 30, 2025 | 111.06 Mn |
| Mar 31, 2025 | 135.42 Mn |
| Dec 31, 2024 | 529.79 Mn |
| Sep 30, 2024 | 116.20 Mn |
| Jun 30, 2024 | 119.50 Mn |
| Mar 31, 2024 | 137.40 Mn |
| Dec 31, 2023 | 121.03 Mn |
| Sep 30, 2023 | 133.82 Mn |
| Jun 30, 2023 | 149.27 Mn |
| Mar 31, 2023 | 148.59 Mn |
| Dec 31, 2022 | 154.82 Mn |
| Sep 30, 2022 | 147.37 Mn |
| Jun 30, 2022 | 139.27 Mn |
| Mar 31, 2022 | 139.74 Mn |
| Dec 31, 2021 | 130.46 Mn |
| Sep 30, 2021 | 111.69 Mn |
API Access
Blackbaud Operating Expenses 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=operating-expenses&ticker=BLKB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=BLKB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();