Akebia Therapeutics (AKBA) Depreciation & Amortization - Total (2019 - 2026)
Akebia Therapeutics (AKBA) reported Depreciation & Amortization - Total of $585,000 for Q2 2026, up 85.1% from $316,000 a year earlier and up 78.4% from the prior quarter.
Akebia Therapeutics (AKBA) Depreciation & Amortization - Total (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Akebia Therapeutics' Depreciation & Amortization - Total came in at $1.55 million, up 16.9% year-over-year; for FY2025, it was $1.27 million, down 13.2% from FY2024.
- Depreciation & Amortization - Total has declined for six consecutive years, with a five-year compound annual growth rate of -9.6% (FY2020 to FY2025).
- By year, Depreciation & Amortization - Total came in at $1.46 million in FY2024 (-7.8%), $1.59 million in FY2023 (-4.2%), $1.65 million in FY2022 (-12.9%) and $1.9 million in FY2021 (-9.5%).
- The Q2 2026 figure ranks as the highest quarterly Depreciation & Amortization - Total since Q3 2019.
- Year over year, Depreciation & Amortization - Total gained in two of the last eight quarters, with growth averaging 1.9%.
- The high point for year-over-year Depreciation & Amortization - Total in five years was Q2 2026 (growth of 85.1%); the low point was Q2 2025 (a decline of 21.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $328,000 (Q1 2026), $321,000 (Q4 2025) and $318,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Amort. (Tot) (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 | Akebia Therapeutics | 250.00 Mn | -419.48 Mn | 38.70 Mn | 585,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 585,000.00 |
| Mar 31, 2026 | 328,000.00 |
| Dec 31, 2025 | 321,000.00 |
| Sep 30, 2025 | 318,000.00 |
| Jun 30, 2025 | 316,000.00 |
| Mar 31, 2025 | 314,000.00 |
| Dec 31, 2024 | 335,000.00 |
| Sep 30, 2024 | 363,000.00 |
| Jun 30, 2024 | 400,000.00 |
| Mar 31, 2024 | 364,000.00 |
| Dec 31, 2023 | 394,000.00 |
| Sep 30, 2023 | 396,000.00 |
| Jun 30, 2023 | 397,000.00 |
| Mar 31, 2023 | 398,000.00 |
| Dec 31, 2022 | 408,000.00 |
| Dec 31, 2020 | 500,000.00 |
| Sep 30, 2020 | 500,000.00 |
| Jun 30, 2020 | 500,000.00 |
| Dec 31, 2019 | 500,000.00 |
| Sep 30, 2019 | 600,000.00 |
Akebia Therapeutics Depreciation & Amortization - Total 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=depreciation-and-amortization-total&ticker=AKBA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-amortization-total", "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=depreciation-and-amortization-total&ticker=AKBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();