Anaptysbio (ANAB) Total Liabilities (2016 - 2026)
Anaptysbio (ANAB) posted Total Liabilities of $316.94 million for Q1 2026, down 18.3% from $388.03 million a year earlier and down 3.1% from the prior quarter.
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Analysis
Anaptysbio (ANAB) Total Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Anaptysbio's Total Liabilities came in at $327.19 million, down 20.8% from FY2024.
- Annual Total Liabilities shows a five-year compound annual growth rate of 75.2% (FY2020 to FY2025).
- In prior years, Anaptysbio's Total Liabilities was $412.97 million in FY2024 (+13.4%), $364.29 million in FY2023 (+4.6%), $348.28 million in FY2022 (+21.5%) and $286.64 million in FY2021.
- The Q1 2026 figure stands as the lowest quarterly Total Liabilities since Q2 2022.
- On a year-over-year basis, Total Liabilities has declined in each of the last four quarters, with an average decline of 1.0% over the last eight quarters.
- The strongest year-over-year quarter for Total Liabilities in the past five years was Q3 2022, with growth of 737.0%; the weakest was Q4 2025, with a decline of 20.8%.
- According to Business Quant data, Total Liabilities for the three prior quarters was $327.19 million (Q4 2025), $382.51 million (Q3 2025) and $379.98 million (Q2 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 116.09 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 141.05 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 87.82 Bn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 80.09 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 65.46 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 83.95 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 37.53 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 115.64 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 7.18 Bn |
| 10 | Anaptysbio | 1.47 Bn | 362.02 Mn | - | 316.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 316.94 Mn |
| Dec 31, 2025 | 327.19 Mn |
| Sep 30, 2025 | 382.51 Mn |
| Jun 30, 2025 | 379.98 Mn |
| Mar 31, 2025 | 388.03 Mn |
| Dec 31, 2024 | 412.97 Mn |
| Sep 30, 2024 | 409.05 Mn |
| Jun 30, 2024 | 417.50 Mn |
| Mar 31, 2024 | 358.06 Mn |
| Dec 31, 2023 | 364.29 Mn |
| Sep 30, 2023 | 366.94 Mn |
| Jun 30, 2023 | 368.65 Mn |
| Mar 31, 2023 | 360.70 Mn |
| Dec 31, 2022 | 348.28 Mn |
| Sep 30, 2022 | 340.88 Mn |
| Jun 30, 2022 | 299.54 Mn |
| Mar 31, 2022 | 294.42 Mn |
| Dec 31, 2021 | 286.64 Mn |
| Sep 30, 2021 | 40.73 Mn |
| Jun 30, 2021 | 40.84 Mn |
API Access
Anaptysbio Total Liabilities 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=total-liabilities&ticker=ANAB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=ANAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();