Mannkind (MNKD) Non-Current Assets (2010 - 2026)
Mannkind (MNKD) posted Non-Current Assets of $486.59 million for Q2 2026, up 266.8% from $132.67 million a year earlier but down 1.3% from the prior quarter.
Mannkind (MNKD) Non-Current Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, Mannkind's Non-Current Assets came in at $500.6 million, up 298.8% from FY2024.
- Annual Non-Current Assets has increased for three consecutive years, with a five-year compound annual growth rate of 76.6% (FY2020 to FY2025).
- In prior years, Mannkind's Non-Current Assets was $125.54 million in FY2024 (+23.3%), $101.81 million in FY2023 (+68.6%), $60.39 million in FY2022 (-40.6%) and $101.67 million in FY2021 (+249.0%).
- Quarterly Non-Current Assets has run from a low of $60.39 million in Q4 2022 to a high of $500.6 million in Q4 2025 over five years.
- On a year-over-year basis, Non-Current Assets has increased in each of the last three quarters, with growth averaging 118.3% over the last eight quarters.
- The strongest year-over-year quarter for Non-Current Assets in the past five years was Q1 2022, with growth of 299.7%; the weakest was Q4 2022, with a decline of 40.6%.
- According to Business Quant data, Non-Current Assets for the three prior quarters was $493.24 million (Q1 2026), $500.6 million (Q4 2025) and $135.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Johnson & Johnson | 655.56 Bn | 574.09 Bn | 17.26 Bn | 141.29 Bn |
| 2 | AbbVie | 470.94 Bn | 444.10 Bn | 12.70 Bn | 101.45 Bn |
| 3 | Merck | 367.14 Bn | 321.57 Bn | 12.21 Bn | 125.00 Mn |
| 4 | Novartis Ag | 280.33 Bn | 236.20 Bn | 11.24 Bn | 94.68 Bn |
| 5 | Astrazeneca | 257.78 Bn | 231.34 Bn | 12.86 Bn | 87.87 Bn |
| 6 | Amgen | 226.04 Bn | 181.44 Bn | 7.24 Bn | 60.68 Bn |
| 7 | Gilead Sciences | 188.89 Bn | 163.01 Bn | 6.22 Bn | 35.42 Bn |
| 8 | Pfizer | 163.75 Bn | 110.70 Bn | 10.94 Bn | 159.77 Bn |
| 9 | Vertex Pharmaceuticals | 133.68 Bn | 105.69 Bn | 2.84 Bn | 14.88 Bn |
| 10 | Mannkind | 1.04 Bn | 358.85 Mn | 94.97 Mn | 486.59 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 486.59 Mn |
| Mar 31, 2026 | 493.24 Mn |
| Dec 31, 2025 | 500.60 Mn |
| Sep 30, 2025 | 135.80 Mn |
| Jun 30, 2025 | 132.67 Mn |
| Mar 31, 2025 | 136.40 Mn |
| Dec 31, 2024 | 125.54 Mn |
| Sep 30, 2024 | 136.54 Mn |
| Jun 30, 2024 | 117.90 Mn |
| Mar 31, 2024 | 97.78 Mn |
| Dec 31, 2023 | 101.81 Mn |
| Sep 30, 2023 | 94.75 Mn |
| Jun 30, 2023 | 83.19 Mn |
| Mar 31, 2023 | 74.84 Mn |
| Dec 31, 2022 | 60.39 Mn |
| Sep 30, 2022 | 75.46 Mn |
| Jun 30, 2022 | 92.32 Mn |
| Mar 31, 2022 | 124.05 Mn |
| Dec 31, 2021 | 101.67 Mn |
| Sep 30, 2021 | 79.00 Mn |
Mannkind Non-Current Assets 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=non-current-assets&ticker=MNKD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "ticker": "MNKD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-current-assets&ticker=MNKD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();