Milestone Pharmaceuticals (MIST) Total Non-Current Liabilities (2020 - 2026)
Milestone Pharmaceuticals (MIST) reported Total Non-Current Liabilities of $107.76 million for Q2 2026, up 791.6% from $12.09 million a year earlier and up 5.6% from the prior quarter.
Milestone Pharmaceuticals (MIST) Total Non-Current Liabilities (2020 - 2026) Analysis & Trends
At the end of FY2025, Milestone Pharmaceuticals posted Total Non-Current Liabilities of $16.14 million, up 74.0% from FY2024.
- By year, Total Non-Current Liabilities came in at $9.28 million in FY2024 (-7.2%), $10 million in FY2023, -$26.22 million in FY2022 and -$45.69 million in FY2021.
- The Q2 2026 figure ranks as the highest quarterly Total Non-Current Liabilities in data going back to Q3 2020.
- Year over year, Total Non-Current Liabilities has now increased in each of the last six quarters, with growth averaging 261.2% over the last eight quarters.
- The high point for year-over-year Total Non-Current Liabilities in five years was Q2 2026 (growth of 791.6%); the low point was Q1 2024 (a decline of 65.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $102.04 million (Q1 2026), $16.14 million (Q4 2025) and $11.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,166.70 Bn | 1,135.28 Bn | 19.71 Bn | 60.66 Bn |
| 2 | Johnson & Johnson | 633.99 Bn | 552.52 Bn | 17.26 Bn | 105.50 Bn |
| 3 | AbbVie | 502.96 Bn | 476.07 Bn | 12.70 Bn | 106.45 Bn |
| 4 | Merck | 377.09 Bn | 331.47 Bn | 12.21 Bn | 80.25 Bn |
| 5 | Novartis Ag | 303.78 Bn | 267.77 Bn | 11.24 Bn | 48.34 Bn |
| 6 | Astrazeneca | 266.66 Bn | 240.35 Bn | 12.86 Bn | 33.91 Bn |
| 7 | Amgen | 241.39 Bn | 196.79 Bn | 7.24 Bn | 78.66 Bn |
| 8 | Gilead Sciences | 194.27 Bn | 168.47 Bn | 6.22 Bn | 35.10 Bn |
| 9 | Pfizer | 172.37 Bn | 119.01 Bn | 10.94 Bn | 97.04 Bn |
| 10 | Milestone Pharmaceuticals | 100.16 Mn | -70.44 Mn | - | 107.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 107.70 Mn |
| Mar 31, 2026 | 101.96 Mn |
| Dec 31, 2025 | 16.06 Mn |
| Sep 30, 2025 | 11.60 Mn |
| Jun 30, 2025 | 12.09 Mn |
| Mar 31, 2025 | 14.93 Mn |
| Dec 31, 2024 | 9.28 Mn |
| Sep 30, 2024 | 5.62 Mn |
| Jun 30, 2024 | 4.18 Mn |
| Mar 31, 2024 | 3.00 Mn |
| Dec 31, 2023 | 10.00 Mn |
| Sep 30, 2023 | 10.15 Mn |
| Jun 30, 2023 | 8.15 Mn |
| Mar 31, 2023 | 8.69 Mn |
| Dec 31, 2022 | -26.22 Mn |
| Sep 30, 2022 | -44.33 Mn |
| Jun 30, 2022 | -48.30 Mn |
| Mar 31, 2022 | -47.90 Mn |
| Dec 31, 2021 | -45.69 Mn |
| Sep 30, 2021 | -46.57 Mn |
Milestone Pharmaceuticals 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=MIST&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "ticker": "MIST", "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=MIST&period=max&api_key=YOUR_API_KEY");
const data = await res.json();