Anaptysbio (ANAB) Total Non-Current Liabilities (2016 - 2026)
Anaptysbio (ANAB) posted Total Non-Current Liabilities of $53.2 million for Q1 2026, down 7.7% from $57.65 million a year earlier but up 5.0% from the prior quarter.
Anaptysbio (ANAB) Total Non-Current Liabilities (2016 - 2026) Analysis & Trends
At the end of FY2025, Anaptysbio's Total Non-Current Liabilities came in at $50.66 million, down 14.9% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of 20.6% (FY2020 to FY2025).
- In prior years, Anaptysbio's Total Non-Current Liabilities was $59.54 million in FY2024 (+11.3%), $53.48 million in FY2023 (+21.9%), $43.87 million in FY2022 (+23.4%) and $35.55 million in FY2021 (+79.4%).
- Quarterly Total Non-Current Liabilities has run from a low of $35.55 million in Q4 2021 to a high of $59.54 million in Q4 2024 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last four quarters, with an average decline of 2.1% over the last eight quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2021, with growth of 79.4%; the weakest was Q4 2025, with a decline of 14.9%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $50.66 million (Q4 2025), $50.67 million (Q3 2025) and $48.62 million (Q2 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 645.01 Bn | 563.54 Bn | 17.26 Bn | 105.99 Bn |
| 2 | AbbVie | 465.23 Bn | 438.39 Bn | 12.70 Bn | 106.45 Bn |
| 3 | Merck | 368.40 Bn | 322.83 Bn | 12.21 Bn | 80.25 Bn |
| 4 | Novartis Ag | 278.02 Bn | 233.89 Bn | 11.24 Bn | 48.34 Bn |
| 5 | Astrazeneca | 254.57 Bn | 228.13 Bn | 12.86 Bn | -967.00 Mn |
| 6 | Amgen | 229.02 Bn | 184.42 Bn | 7.24 Bn | 81.11 Bn |
| 7 | Gilead Sciences | 187.74 Bn | 161.85 Bn | 6.22 Bn | 36.04 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 100.86 Bn |
| 9 | Vertex Pharmaceuticals | 133.45 Bn | 105.45 Bn | 2.84 Bn | 5.92 Bn |
| 10 | Anaptysbio | 1.46 Bn | 349.53 Mn | - | 53.20 Mn |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 53.20 Mn |
| Dec 31, 2025 | 50.66 Mn |
| Sep 30, 2025 | 50.67 Mn |
| Jun 30, 2025 | 48.62 Mn |
| Mar 31, 2025 | 57.65 Mn |
| Dec 31, 2024 | 59.54 Mn |
| Sep 30, 2024 | 58.49 Mn |
| Jun 30, 2024 | 55.52 Mn |
| Mar 31, 2024 | 47.87 Mn |
| Dec 31, 2023 | 53.48 Mn |
| Sep 30, 2023 | 55.67 Mn |
| Jun 30, 2023 | 58.58 Mn |
| Mar 31, 2023 | 53.18 Mn |
| Dec 31, 2022 | 43.87 Mn |
| Sep 30, 2022 | 39.30 Mn |
| Jun 30, 2022 | 38.52 Mn |
| Mar 31, 2022 | 38.84 Mn |
| Dec 31, 2021 | 35.55 Mn |
| Dec 31, 2020 | 19.82 Mn |
| Sep 30, 2020 | 24.47 Mn |
Anaptysbio Total Non-Current 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-non-current-liabilities&ticker=ANAB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=ANAB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();