MAIA Biotechnology (MAIA) Return on Capital Employed [ROCE] (2022 - 2026)
MAIA Biotechnology (MAIA) recorded Return on Capital Employed [ROCE] of -113.41% in Q2 2026, up 195.18 percentage points from -308.59% a year earlier and up 45.90 percentage points from the prior quarter.
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Analysis
MAIA Biotechnology (MAIA) Return on Capital Employed [ROCE] (2022 - 2026) Analysis & Trends
For FY2025, MAIA Biotechnology reported Return on Capital Employed [ROCE] of -592.87%, down 255.82 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a three-year change of -400.43 percentage points (FY2022 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -337.05% in FY2024 (+78.45 pp), -415.51% in FY2023 (-223.06 pp) and -192.44% in FY2022.
- The Q2 2026 figure is the highest quarterly Return on Capital Employed [ROCE] in data going back to Q3 2022.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in five of the last eight quarters, with an average year-over-year change of -46.10 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 571.06 percentage points in Q4 2024, against a drop of 1497.13 percentage points in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at -159.31% (Q1 2026), -494.60% (Q4 2025) and -1758.16% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,137.66 Bn | 1,106.24 Bn | 19.71 Bn | 46.74% |
| 2 | Johnson & Johnson | 636.13 Bn | 556.00 Bn | 17.30 Bn | 17.52% |
| 3 | AbbVie | 505.28 Bn | 478.39 Bn | 12.70 Bn | 17.92% |
| 4 | Merck | 358.10 Bn | 312.48 Bn | 12.21 Bn | 6.28% |
| 5 | Novartis Ag | 292.59 Bn | 256.58 Bn | 11.24 Bn | 19.32% |
| 6 | Astrazeneca | 265.81 Bn | 239.50 Bn | 12.86 Bn | 16.76% |
| 7 | Amgen | 237.53 Bn | 192.93 Bn | 7.24 Bn | 16.66% |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | -5.97% |
| 9 | Pfizer | 171.17 Bn | 117.82 Bn | 10.94 Bn | 11.86% |
| 10 | MAIA Biotechnology | 69.78 Mn | -11.78 Mn | - | -113.41% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -113.41% |
| Mar 31, 2026 | -159.31% |
| Dec 31, 2025 | -494.60% |
| Sep 30, 2025 | -1,758.16% |
| Jun 30, 2025 | -308.59% |
| Mar 31, 2025 | -309.68% |
| Dec 31, 2024 | -288.93% |
| Sep 30, 2024 | -261.03% |
| Jun 30, 2024 | -278.52% |
| Mar 31, 2024 | -616.85% |
| Dec 31, 2023 | -859.99% |
| Sep 30, 2023 | -401.33% |
| Jun 30, 2023 | -283.49% |
| Mar 31, 2023 | -249.45% |
| Dec 31, 2022 | -159.63% |
| Sep 30, 2022 | -152.63% |
API Access
MAIA Biotechnology Return on Capital Employed [ROCE] 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-capital-employed-%5Broce%5D&ticker=MAIA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "MAIA", "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-capital-employed-%5Broce%5D&ticker=MAIA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();