Mannkind (MNKD) Operating Expenses (2010 - 2026)
Mannkind (MNKD) reported Operating Expenses of $109.72 million for Q2 2026, up 54.0% from $71.23 million a year earlier and up 19.5% from the prior quarter.
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Analysis
Mannkind (MNKD) Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Mannkind's Operating Expenses came in at $384.44 million, up 63.7% year-over-year; for FY2025, it came in at $310.17 million, up 45.7% from FY2024.
- Operating Expenses has increased for seven consecutive years, with a five-year compound annual growth rate of 22.4% (FY2020 to FY2025).
- By year, Operating Expenses came in at $212.92 million in FY2024 (+11.9%), $190.28 million in FY2023 (+16.1%), $163.88 million in FY2022 (+33.8%) and $122.46 million in FY2021 (+8.3%).
- Five-year quarterly Operating Expenses spans a low of $28.8 million in Q3 2021 and a high of $119.64 million in Q4 2025.
- Year over year, Operating Expenses has now increased in each of the last six quarters, with growth averaging 41.3% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was Q4 2025 (growth of 137.9%); the low point was Q4 2021 (a decline of 13.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $91.84 million (Q1 2026), $119.64 million (Q4 2025) and $63.23 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | 7.95 Bn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 10.12 Bn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | 10.56 Bn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | 12.80 Bn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | 6.09 Bn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 9.70 Bn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | 6.54 Bn |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | 18.20 Bn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | 6.68 Bn |
| 10 | Mannkind | 946.12 Mn | 266.77 Mn | 94.97 Mn | 109.72 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 109.72 Mn |
| Mar 31, 2026 | 91.84 Mn |
| Dec 31, 2025 | 119.64 Mn |
| Sep 30, 2025 | 63.23 Mn |
| Jun 30, 2025 | 71.23 Mn |
| Mar 31, 2025 | 56.06 Mn |
| Dec 31, 2024 | 50.28 Mn |
| Sep 30, 2024 | 57.32 Mn |
| Jun 30, 2024 | 55.78 Mn |
| Mar 31, 2024 | 49.54 Mn |
| Dec 31, 2023 | 50.61 Mn |
| Sep 30, 2023 | 46.16 Mn |
| Jun 30, 2023 | 46.89 Mn |
| Mar 31, 2023 | 46.62 Mn |
| Dec 31, 2022 | 48.85 Mn |
| Sep 30, 2022 | 42.44 Mn |
| Jun 30, 2022 | 39.35 Mn |
| Mar 31, 2022 | 33.25 Mn |
| Dec 31, 2021 | 36.48 Mn |
| Sep 30, 2021 | 28.80 Mn |
API Access
Mannkind Operating 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=operating-expenses&ticker=MNKD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-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=operating-expenses&ticker=MNKD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();