Akebia Therapeutics (AKBA) Total Non-Current Liabilities (2013 - 2026)
Akebia Therapeutics' Total Non-Current Liabilities was $322.64 million in Q2 2026, up 6.8% from $302.17 million a year earlier but down 3.0% from the prior quarter.
Akebia Therapeutics (AKBA) Total Non-Current Liabilities (2013 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at Akebia Therapeutics came in at $340.96 million, up 28.8% from FY2024.
- Total Non-Current Liabilities shows a five-year compound annual growth rate of 0.1% (FY2020 to FY2025).
- In earlier years, Total Non-Current Liabilities was $264.66 million in FY2024 (+0.5%), $263.4 million in FY2023 (-21.4%), $335.11 million in FY2022 (-9.7%) and $371.13 million in FY2021 (+9.4%).
- Quarterly Total Non-Current Liabilities has moved between $245.96 million (Q1 2024) and $436.08 million (Q1 2022) over five years.
- Compared with a year earlier, Total Non-Current Liabilities has increased for seven straight quarters, with growth averaging 14.0% over the last eight quarters.
- The best year-over-year quarter for Total Non-Current Liabilities over five years was Q4 2025 (growth of 28.8%); the worst was Q1 2023 (a decline of 35.0%).
- Per Business Quant data, AKBA's Total Non-Current Liabilities in the three quarters before Q2 2026 was $332.62 million (Q1 2026), $340.96 million (Q4 2025) and $317.32 million (Q3 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 | Akebia Therapeutics | 241.85 Mn | -427.63 Mn | 38.70 Mn | 322.64 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 322.64 Mn |
| Mar 31, 2026 | 332.62 Mn |
| Dec 31, 2025 | 340.96 Mn |
| Sep 30, 2025 | 317.32 Mn |
| Jun 30, 2025 | 302.17 Mn |
| Mar 31, 2025 | 278.38 Mn |
| Dec 31, 2024 | 264.66 Mn |
| Sep 30, 2024 | 252.82 Mn |
| Jun 30, 2024 | 247.39 Mn |
| Mar 31, 2024 | 245.96 Mn |
| Dec 31, 2023 | 263.40 Mn |
| Sep 30, 2023 | 265.00 Mn |
| Jun 30, 2023 | 263.38 Mn |
| Mar 31, 2023 | 283.28 Mn |
| Dec 31, 2022 | 335.11 Mn |
| Sep 30, 2022 | 352.89 Mn |
| Jun 30, 2022 | 396.34 Mn |
| Mar 31, 2022 | 436.08 Mn |
| Dec 31, 2021 | 371.13 Mn |
| Sep 30, 2021 | 387.72 Mn |
Akebia Therapeutics 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=AKBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "AKBA", "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=AKBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();