Akebia Therapeutics (AKBA) Return on Sales [ROS] (2013 - 2026)
Akebia Therapeutics (AKBA) recorded Return on Sales [ROS] of -12.88% in Q2 2026, down 35.43 percentage points from 22.55% a year earlier and down 4.11 percentage points from the prior quarter.
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Analysis
Akebia Therapeutics (AKBA) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
On a TTM basis, Akebia Therapeutics' Return on Sales [ROS] came in at -6.90% as of Jun 30, 2026, down 7.29 percentage points year-over-year; for FY2025, it came in at 9.95%, up 41.46 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +138.18 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at -31.51% in FY2024 (-7.74 pp), -23.77% in FY2023 (+3.85 pp), -27.62% in FY2022 (+97.35 pp) and -124.97% in FY2021 (+3.26 pp).
- Quarterly Return on Sales [ROS] has ranged from -113.28% in Q4 2021 to 26.97% in Q2 2022 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of +8.18 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 176.91 percentage points in Q2 2022, against a drop of 42.92 percentage points in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at -8.77% (Q1 2026), -14.84% (Q4 2025) and 7.57% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn | 34.46% |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn | 24.35% |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn | 36.01% |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn | 30.74% |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn | 29.12% |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn | 35.79% |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn | 41.71% |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn | 32.98% |
| 10 | Akebia Therapeutics | 149.86 Mn | -512.48 Mn | 30.54 Mn | -31.06% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -31.06% |
| Jun 30, 2026 | -12.88% |
| Mar 31, 2026 | -8.77% |
| Dec 31, 2025 | -14.84% |
| Sep 30, 2025 | 7.57% |
| Jun 30, 2025 | 22.55% |
| Mar 31, 2025 | 23.57% |
| Dec 31, 2024 | -30.77% |
| Sep 30, 2024 | -33.41% |
| Jun 30, 2024 | -19.99% |
| Mar 31, 2024 | -45.81% |
| Dec 31, 2023 | 2.45% |
| Sep 30, 2023 | -31.00% |
| Jun 30, 2023 | -15.96% |
| Mar 31, 2023 | -63.98% |
| Dec 31, 2022 | -8.73% |
| Sep 30, 2022 | -103.47% |
| Jun 30, 2022 | 26.97% |
| Mar 31, 2022 | -96.57% |
| Dec 31, 2021 | -113.28% |
API Access
Akebia Therapeutics Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=AKBA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=AKBA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();