Editas Medicine (EDIT) Other Accumulated Expenses (2015 - 2023)
Editas Medicine (EDIT) recorded Other Accumulated Expenses of $78,000 in Q2 2023, down 97.2% from $2.76 million a year earlier and down 28.4% from the prior quarter.
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Analysis
Editas Medicine (EDIT) Other Accumulated Expenses (2015 - 2023) Analysis & Trends
At the end of FY2022, Editas Medicine reported Other Accumulated Expenses of $1.64 million, up 16.1% from FY2021.
- Annual Other Accumulated Expenses has a five-year compound annual growth rate of 12.7% (FY2017 to FY2022).
- Across earlier years, Other Accumulated Expenses came in at $1.41 million in FY2021 (+24.6%), $1.13 million in FY2020 (-57.9%), $2.68 million in FY2019 (+31.0%) and $2.05 million in FY2018 (+127.6%).
- The Q2 2023 figure is the lowest quarterly Other Accumulated Expenses in data going back to Q4 2015.
- On a year-over-year basis, Other Accumulated Expenses rose in five of the last eight quarters, with growth averaging 4.5%.
- Peak year-over-year performance for Other Accumulated Expenses in the last five years was growth of 289.8% in Q2 2020, against a decline of 97.2% in Q2 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $109,000 (Q1 2023), $1.64 million (Q4 2022) and $293,000 (Q3 2022).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Johnson & Johnson | 638.12 Bn | 556.64 Bn | 17.26 Bn |
| 2 | AbbVie | 462.60 Bn | 435.75 Bn | 12.70 Bn |
| 3 | Merck | 358.70 Bn | 313.13 Bn | 12.21 Bn |
| 4 | Novartis Ag | 272.16 Bn | 228.03 Bn | 11.24 Bn |
| 5 | Astrazeneca | 250.36 Bn | 223.92 Bn | 12.86 Bn |
| 6 | Amgen | 227.87 Bn | 183.27 Bn | 7.24 Bn |
| 7 | Gilead Sciences | 184.97 Bn | 159.08 Bn | 6.22 Bn |
| 8 | Pfizer | 162.61 Bn | 109.56 Bn | 10.94 Bn |
| 9 | Vertex Pharmaceuticals | 132.45 Bn | 104.46 Bn | 2.84 Bn |
| 10 | Editas Medicine | 239.69 Mn | -472.07 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | 78,000.00 |
| Mar 31, 2023 | 109,000.00 |
| Dec 31, 2022 | 1.64 Mn |
| Sep 30, 2022 | 293,000.00 |
| Jun 30, 2022 | 2.76 Mn |
| Mar 31, 2022 | 810,000.00 |
| Dec 31, 2021 | 1.41 Mn |
| Sep 30, 2021 | 271,000.00 |
| Jun 30, 2021 | 914,000.00 |
| Mar 31, 2021 | 505,000.00 |
| Dec 31, 2020 | 1.13 Mn |
| Sep 30, 2020 | 3.14 Mn |
| Jun 30, 2020 | 4.03 Mn |
| Mar 31, 2020 | 3.52 Mn |
| Dec 31, 2019 | 2.68 Mn |
| Sep 30, 2019 | 1.56 Mn |
| Jun 30, 2019 | 1.03 Mn |
| Mar 31, 2019 | 1.91 Mn |
| Dec 31, 2018 | 2.05 Mn |
| Sep 30, 2018 | 980,000.00 |
API Access
Editas Medicine Other 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=other-accumulated-expenses&ticker=EDIT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "EDIT", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=EDIT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();