Immuneering (IMRX) Accumulated Depreciation (2020 - 2022)
Immuneering's Accumulated Depreciation was $418,337 in Q4 2022, up 140.1% from $174,219 a year earlier and up 21.4% from the prior quarter.
Analysis
Immuneering (IMRX) Accumulated Depreciation (2020 - 2022) Analysis & Trends
From Q4 2020 onward, Immuneering has reported Accumulated Depreciation for 8 quarters.
- In earlier years, Accumulated Depreciation was $174,219 in FY2021 (+35.3%) and $128,752 in FY2020.
- The Q4 2022 figure marks the highest quarterly Accumulated Depreciation in data going back to Q4 2020.
- Compared with a year earlier, Accumulated Depreciation has increased for three straight quarters, with growth averaging 94.8% over the last four quarters.
- Per Business Quant data, IMRX's Accumulated Depreciation in the three quarters before Q4 2022 was $344,556 (Q3 2022), $276,482 (Q2 2022) and $221,923 (Q1 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 | Immuneering | 264.61 Mn | 264.61 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2022 | 418,337.00 |
| Sep 30, 2022 | 344,556.00 |
| Jun 30, 2022 | 276,482.00 |
| Mar 31, 2022 | 221,923.00 |
| Dec 31, 2021 | 174,219.00 |
| Sep 30, 2021 | 159,404.00 |
| Jun 30, 2021 | 147,426.00 |
| Dec 31, 2020 | 128,752.00 |
API Access
Immuneering Accumulated Depreciation 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-depreciation&ticker=IMRX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-depreciation", "ticker": "IMRX", "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-depreciation&ticker=IMRX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();