Mereo BioPharma (MREO) Total Non-Current Liabilities (2017 - 2026)
Mereo BioPharma (MREO) posted Total Non-Current Liabilities of $5.69 million for Q2 2026, down 28.0% from $7.91 million a year earlier and down 8.2% from the prior quarter.
Mereo BioPharma (MREO) Total Non-Current Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, Mereo BioPharma's Total Non-Current Liabilities came in at $4.34 million, down 70.3% from FY2024.
- Annual Total Non-Current Liabilities shows a five-year compound annual growth rate of -45.7% (FY2020 to FY2025).
- In prior years, Mereo BioPharma's Total Non-Current Liabilities was $14.6 million in FY2024 (-3.9%), $15.2 million in FY2023 (+745.2%), $1.8 million in FY2022 (-94.8%) and $34.88 million in FY2021 (-61.9%).
- Quarterly Total Non-Current Liabilities has run from a low of $1.8 million in Q4 2022 to a high of $160.24 million in Q3 2024 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has declined in each of the last seven quarters, with an average decline of 43.9% over the last seven quarters.
- The strongest year-over-year quarter for Total Non-Current Liabilities in the past five years was Q4 2023, with growth of 745.2%; the weakest was Q3 2025, with a decline of 96.0%.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $6.2 million (Q1 2026), $4.34 million (Q4 2025) and $6.35 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,165.22 Bn | 1,133.81 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 646.28 Bn | 566.14 Bn | 17.30 Bn | 102.65 Bn |
| 3 | AbbVie | 503.17 Bn | 476.28 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 365.23 Bn | 319.60 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 302.66 Bn | 266.65 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 267.39 Bn | 241.08 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 241.61 Bn | 197.01 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 194.67 Bn | 168.86 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 172.91 Bn | 119.55 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Mereo BioPharma | 46.19 Mn | -103.72 Mn | - | 5.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.60 Mn |
| Mar 31, 2026 | 6.15 Mn |
| Dec 31, 2025 | 4.27 Mn |
| Sep 30, 2025 | 5.99 Mn |
| Jun 30, 2025 | 7.45 Mn |
| Mar 31, 2025 | 7.39 Mn |
| Dec 31, 2024 | 13.97 Mn |
| Sep 30, 2024 | 159.60 Mn |
| Jun 30, 2024 | 15.96 Mn |
| Mar 31, 2024 | 11.69 Mn |
| Dec 31, 2023 | 14.76 Mn |
| Jun 30, 2023 | 6.86 Mn |
| Dec 31, 2022 | 1.85 Mn |
| Jun 30, 2022 | 3.94 Mn |
| Dec 31, 2021 | 34.93 Mn |
| Jun 30, 2021 | 75.25 Mn |
| Dec 31, 2020 | 94.53 Mn |
| Jun 30, 2020 | 77.77 Mn |
| Dec 31, 2019 | 21.39 Mn |
| Jun 30, 2019 | 34.29 Mn |
Mereo BioPharma 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=MREO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "MREO", "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=MREO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();