Anaptysbio (ANAB) Accumulated Expenses (2016 - 2026)
Anaptysbio (ANAB) reported Accumulated Expenses of $32.07 million for Q1 2026, down 10.8% from $35.95 million a year earlier and down 1.9% from the prior quarter.
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Analysis
Anaptysbio (ANAB) Accumulated Expenses (2016 - 2026) Analysis & Trends
At the end of FY2025, Anaptysbio posted Accumulated Expenses of $32.67 million, down 17.3% from FY2024.
- Accumulated Expenses has a five-year compound annual growth rate of 16.4% (FY2020 to FY2025).
- By year, Accumulated Expenses came in at $39.5 million in FY2024 (+27.6%), $30.97 million in FY2023 (+43.1%), $21.63 million in FY2022 (+68.3%) and $12.85 million in FY2021 (-15.8%).
- Five-year quarterly Accumulated Expenses spans a low of $12.85 million in Q4 2021 and a high of $39.5 million in Q4 2024.
- Year over year, Accumulated Expenses has now declined in each of the last four quarters, with growth averaging 4.3% over the last eight quarters.
- The high point for year-over-year Accumulated Expenses in five years was Q2 2023 (growth of 110.4%); the low point was Q3 2021 (a decline of 22.4%).
- Per Business Quant data, the three quarters before Q1 2026 came in at $32.67 million (Q4 2025), $33.17 million (Q3 2025) and $30.2 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Anaptysbio | 1.46 Bn | 346.34 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 32.07 Mn |
| Dec 31, 2025 | 32.67 Mn |
| Sep 30, 2025 | 33.17 Mn |
| Jun 30, 2025 | 30.20 Mn |
| Mar 31, 2025 | 35.95 Mn |
| Dec 31, 2024 | 39.50 Mn |
| Sep 30, 2024 | 38.40 Mn |
| Jun 30, 2024 | 33.68 Mn |
| Mar 31, 2024 | 25.90 Mn |
| Dec 31, 2023 | 30.97 Mn |
| Sep 30, 2023 | 30.92 Mn |
| Jun 30, 2023 | 35.16 Mn |
| Mar 31, 2023 | 30.96 Mn |
| Dec 31, 2022 | 21.63 Mn |
| Sep 30, 2022 | 16.45 Mn |
| Jun 30, 2022 | 16.71 Mn |
| Mar 31, 2022 | 15.76 Mn |
| Dec 31, 2021 | 12.85 Mn |
| Sep 30, 2021 | 14.08 Mn |
| Jun 30, 2021 | 15.96 Mn |
API Access
Anaptysbio 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=ANAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "ANAB", "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=ANAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();