Blackbaud (BLKB) Accumulated Expenses (2009 - 2026)
Blackbaud (BLKB) recorded Accumulated Expenses of $37.6 million in Q2 2026, down 10.7% from $42.1 million a year earlier but up 0.2% from the prior quarter.
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Analysis
Blackbaud (BLKB) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Blackbaud reported Accumulated Expenses of $43.27 million, down 43.4% from FY2024.
- Annual Accumulated Expenses has a five-year compound annual growth rate of -3.7% (FY2020 to FY2025).
- Across earlier years, Accumulated Expenses came in at $76.48 million in FY2024 (+17.8%), $64.9 million in FY2023 (-24.5%), $86 million in FY2022 (-14.1%) and $100.1 million in FY2021 (+91.7%).
- Quarterly Accumulated Expenses has ranged from $37.52 million in Q1 2026 to $102.75 million in Q2 2023 over the past five years.
- On a year-over-year basis, Accumulated Expenses has declined for three consecutive quarters, with an average decline of 19.8% over the last eight quarters.
- Peak year-over-year performance for Accumulated Expenses in the last five years was growth of 91.7% in Q4 2021, against a decline of 51.1% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $37.52 million (Q1 2026), $43.27 million (Q4 2025) and $53.05 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Palantir Technologies | 449.46 Bn | 418.52 Bn | 1.64 Bn |
| 2 | Oracle | 415.29 Bn | 287.84 Bn | - |
| 3 | Sap Se | 256.30 Bn | 177.39 Bn | 8.40 Bn |
| 4 | Salesforce | 188.94 Bn | 144.82 Bn | 8.70 Bn |
| 5 | ServiceNow | 138.57 Bn | 117.03 Bn | 2.82 Bn |
| 6 | Automatic Data Processing | 102.66 Bn | 84.78 Bn | 2.51 Bn |
| 7 | Intuit | 74.00 Bn | 53.35 Bn | 3.44 Bn |
| 8 | Relx | 60.34 Bn | 57.31 Bn | - |
| 9 | Strategy | 53.88 Bn | 46.87 Bn | 81.55 Mn |
| 10 | Blackbaud | 1.89 Bn | 1.75 Bn | 178.16 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.60 Mn |
| Mar 31, 2026 | 37.52 Mn |
| Dec 31, 2025 | 43.27 Mn |
| Sep 30, 2025 | 53.05 Mn |
| Jun 30, 2025 | 42.10 Mn |
| Mar 31, 2025 | 46.10 Mn |
| Dec 31, 2024 | 76.48 Mn |
| Sep 30, 2024 | 49.60 Mn |
| Jun 30, 2024 | 52.50 Mn |
| Mar 31, 2024 | 76.10 Mn |
| Dec 31, 2023 | 64.90 Mn |
| Sep 30, 2023 | 101.38 Mn |
| Jun 30, 2023 | 102.75 Mn |
| Mar 31, 2023 | 72.80 Mn |
| Dec 31, 2022 | 86.00 Mn |
| Sep 30, 2022 | 78.47 Mn |
| Jun 30, 2022 | 77.41 Mn |
| Mar 31, 2022 | 72.20 Mn |
| Dec 31, 2021 | 100.10 Mn |
| Sep 30, 2021 | 58.58 Mn |
API Access
Blackbaud Accumulated 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=accumulated-expenses&ticker=BLKB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=BLKB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();