Insmed (INSM) Accumulated Expenses (2009 - 2022)
Insmed (INSM) posted Accumulated Expenses of $58.77 million for Q2 2022, up 29.0% from $45.55 million a year earlier and up 10.3% from the prior quarter.
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Analysis
Insmed (INSM) Accumulated Expenses (2009 - 2022) Analysis & Trends
At the end of FY2021, Insmed's Accumulated Expenses came in at $60.67 million, up 60.5% from FY2020.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 29.2% (FY2016 to FY2021).
- In prior years, Insmed's Accumulated Expenses was $37.81 million in FY2020 (-6.4%), $40.38 million in FY2019 (+5.5%), $38.25 million in FY2018 (+123.2%) and $17.14 million in FY2017 (+1.9%).
- Quarterly Accumulated Expenses has run from a low of $17.14 million in Q4 2017 to a high of $62.27 million in Q3 2021 over five years.
- On a year-over-year basis, Accumulated Expenses has increased in each of the last six quarters, with growth averaging 31.1% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q4 2018, with growth of 123.2%; the weakest was Q2 2020, with a decline of 35.3%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $53.29 million (Q1 2022), $60.67 million (Q4 2021) and $62.27 million (Q3 2021).
Peer Set
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 | Insmed | 26.21 Bn | 21.25 Bn | 446.21 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2022 | 58.77 Mn |
| Mar 31, 2022 | 53.29 Mn |
| Dec 31, 2021 | 60.67 Mn |
| Sep 30, 2021 | 62.27 Mn |
| Jun 30, 2021 | 45.55 Mn |
| Mar 31, 2021 | 41.29 Mn |
| Dec 31, 2020 | 37.81 Mn |
| Sep 30, 2020 | 35.15 Mn |
| Jun 30, 2020 | 31.92 Mn |
| Mar 31, 2020 | 32.69 Mn |
| Dec 31, 2019 | 40.38 Mn |
| Sep 30, 2019 | 38.91 Mn |
| Jun 30, 2019 | 49.36 Mn |
| Mar 31, 2019 | 38.32 Mn |
| Dec 31, 2018 | 38.25 Mn |
| Sep 30, 2018 | 40.37 Mn |
| Jun 30, 2018 | 29.05 Mn |
| Mar 31, 2018 | 21.07 Mn |
| Dec 31, 2017 | 17.14 Mn |
| Sep 30, 2017 | 18.80 Mn |
API Access
Insmed 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=INSM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "ticker": "INSM", "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=INSM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();