Akebia Therapeutics (AKBA) Change in Inventory (2019 - 2026)
Akebia Therapeutics (AKBA) posted Change in Inventory of $655,000 for Q2 2026, down 91.4% from $7.65 million a year earlier and down 74.2% from the prior quarter.
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Analysis
Akebia Therapeutics (AKBA) Change in Inventory (2019 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Change in Inventory at Akebia Therapeutics was $13.71 million, down 36.6% year-over-year; for FY2025, it came in at $23.13 million, down 18.6% from FY2024.
- In prior years, Akebia Therapeutics' Change in Inventory was $28.4 million in FY2024, $2.54 million in FY2023, -$19.09 million in FY2022 and $24.95 million in FY2021.
- Quarterly Change in Inventory has run from a low of -$24.45 million in Q4 2022 to a high of $17.42 million in Q4 2025 over five years.
- On a year-over-year basis, Change in Inventory increased in two of the last seven quarters, with an average decline of 23.7%.
- The strongest year-over-year quarter for Change in Inventory in the past five years was Q4 2025, with growth of 105.0%; the weakest was Q2 2026, with a decline of 91.4%.
- According to Business Quant data, Change in Inventory for the three prior quarters was $2.54 million (Q1 2026), $17.42 million (Q4 2025) and -$6.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn | 571.00 Mn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn | 143.00 Mn |
| 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 | 31.00 Mn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn | 145.00 Mn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn | - |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn | 27.70 Mn |
| 10 | Akebia Therapeutics | 250.00 Mn | -419.48 Mn | 38.70 Mn | 655,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 655,000.00 |
| Mar 31, 2026 | 2.54 Mn |
| Dec 31, 2025 | 17.42 Mn |
| Sep 30, 2025 | -6.90 Mn |
| Jun 30, 2025 | 7.65 Mn |
| Mar 31, 2025 | 4.95 Mn |
| Dec 31, 2024 | 8.50 Mn |
| Sep 30, 2024 | 545,000.00 |
| Jun 30, 2024 | 14.93 Mn |
| Mar 31, 2024 | 4.43 Mn |
| Dec 31, 2023 | 11.78 Mn |
| Sep 30, 2023 | 1.59 Mn |
| Jun 30, 2023 | -3.48 Mn |
| Mar 31, 2023 | -7.35 Mn |
| Dec 31, 2022 | -24.45 Mn |
| Sep 30, 2022 | 1.00 Mn |
| Jun 30, 2022 | -4.13 Mn |
| Mar 31, 2022 | 8.49 Mn |
| Dec 31, 2021 | -10.34 Mn |
| Sep 30, 2021 | -428,000.00 |
API Access
Akebia Therapeutics Change in Inventory 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=change-in-inventory&ticker=AKBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "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=change-in-inventory&ticker=AKBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();