Mannkind (MNKD) Accumulated Expenses (2009 - 2026)
Mannkind (MNKD) posted Accumulated Expenses of $60.77 million for Q2 2026, up 96.6% from $30.92 million a year earlier and up 3.7% from the prior quarter.
Mannkind (MNKD) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, Mannkind's Accumulated Expenses came in at $64.63 million, up 60.4% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 26.8% (FY2020 to FY2025).
- In prior years, Mannkind's Accumulated Expenses was $40.29 million in FY2024 (-4.1%), $42.04 million in FY2023 (+18.2%), $35.55 million in FY2022 (+29.7%) and $27.42 million in FY2021 (+39.1%).
- Quarterly Accumulated Expenses has run from a low of $20.83 million in Q3 2021 to a high of $64.63 million in Q4 2025 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last three quarters, with growth averaging 21.2% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q2 2026, with growth of 96.6%; the weakest was Q2 2025, with a decline of 24.5%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $58.6 million (Q1 2026), $64.63 million (Q4 2025) and $31.42 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Eli Lilly | 1,348.13 Bn | 1,321.74 Bn | 20.46 Bn |
| 2 | Johnson & Johnson | 675.90 Bn | 595.76 Bn | 17.30 Bn |
| 3 | AbbVie | 519.45 Bn | 487.50 Bn | 13.12 Bn |
| 4 | Merck | 364.95 Bn | 327.95 Bn | 13.19 Bn |
| 5 | Novartis Ag | 311.58 Bn | 285.16 Bn | - |
| 6 | Astrazeneca | 289.34 Bn | 262.94 Bn | 13.26 Bn |
| 7 | Amgen | 251.64 Bn | 203.30 Bn | 7.58 Bn |
| 8 | Gilead Sciences | 212.05 Bn | 187.07 Bn | 6.73 Bn |
| 9 | Pfizer | 167.35 Bn | 115.00 Bn | 12.56 Bn |
| 10 | Mannkind | 1.36 Bn | 844.58 Mn | 90.66 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 59.59 Mn |
| Jun 30, 2026 | 60.77 Mn |
| Mar 31, 2026 | 58.60 Mn |
| Dec 31, 2025 | 64.63 Mn |
| Sep 30, 2025 | 31.42 Mn |
| Jun 30, 2025 | 30.92 Mn |
| Mar 31, 2025 | 40.10 Mn |
| Dec 31, 2024 | 40.29 Mn |
| Sep 30, 2024 | 37.39 Mn |
| Jun 30, 2024 | 40.95 Mn |
| Mar 31, 2024 | 42.29 Mn |
| Dec 31, 2023 | 42.04 Mn |
| Sep 30, 2023 | 32.10 Mn |
| Jun 30, 2023 | 36.83 Mn |
| Mar 31, 2023 | 33.00 Mn |
| Dec 31, 2022 | 35.55 Mn |
| Sep 30, 2022 | 30.35 Mn |
| Jun 30, 2022 | 33.18 Mn |
| Mar 31, 2022 | 27.13 Mn |
| Dec 31, 2021 | 27.42 Mn |
Mannkind Accumulated Expenses 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=accumulated-expenses&ticker=MNKD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=MNKD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();