Immuron (IMRN) Exchange Rate Effect (2016 - 2023)
Immuron (IMRN) posted Exchange Rate Effect of -$2.5 million for Q2 2023, down 13903.72% on a QoQ basis from -$18072.0 in Q4 2022, and down 23.79% year-over-year from -$3.3 million in Q2 2022.
Immuron (IMRN) Exchange Rate Effect (2016 - 2023) Analysis & Trends
Immuron has reported Exchange Rate Effect for 8 years, with the latest figure at -$2.5 million in Q2 2023.
- On a quarterly basis, Exchange Rate Effect fell 23.79% year-over-year to -$2.5 million in Q2 2023; TTM through Jun 2023 was -$5.1 million, a 47.43% increase from a year earlier, with the FY2026 full-year figure at -$268804.0, down 2583.18% from the prior year.
- Exchange Rate Effect was -$2.5 million for Q2 2023 at Immuron, down from -$18072.0 in the prior quarter.
- The five-year high for Exchange Rate Effect was $22195.0 in Q4 2019, with the low at -$6.5 million in Q2 2021.
- Average Exchange Rate Effect over 5 years is -$1.8 million, with a median of -$1.3 million recorded in 2020.
- The sharpest annual moves came in 2019 and 2020: Exchange Rate Effect soared 119.77% in 2019, then slumped 3238.36% in 2020.
- Over 5 years, Exchange Rate Effect stood at $22195.0 in 2019, then plunged by 3238.36% to -$696559.0 in 2020, then rose by 26.8% to -$509893.8 in 2021, then jumped by 96.46% to -$18072.0 in 2022, then slumped by 13903.72% to -$2.5 million in 2023.
- The last three Exchange Rate Effect figures came in at -$2.5 million (Q2 2023), -$18072.0 (Q4 2022), and -$2.0 million (Q2 2022), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Exchange Rate Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Amgen | 208.48 Bn | 194.49 Bn | 7.24 Bn | - |
| 2 | Gilead Sciences | 186.29 Bn | 183.02 Bn | 6.22 Bn | -19.00 Mn |
| 3 | Vertex Pharmaceuticals | 128.79 Bn | 120.93 Bn | 2.84 Bn | -3.70 Mn |
| 4 | Regeneron Pharmaceuticals | 80.66 Bn | 72.67 Bn | 3.93 Bn | -300,000.00 |
| 5 | Moderna | 61.46 Bn | 56.32 Bn | 52.00 Mn | -2.00 Mn |
| 6 | Argenx Se | 61.28 Bn | 56.10 Bn | 1.37 Bn | - |
| 7 | Alnylam Pharmaceuticals | 32.04 Bn | 28.73 Bn | 992.69 Mn | -2.45 Mn |
| 8 | Biogen | 31.84 Bn | 30.56 Bn | 1.96 Bn | -3.40 Mn |
| 9 | Roivant Sciences | 28.74 Bn | 29.43 Bn | 1.16 Mn | 315,000.00 |
| 10 | Immuron | 7.14 Mn | -1.88 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -2.53 Mn |
| Dec 31, 2022 | -18,072.00 |
| Jun 30, 2022 | -2.04 Mn |
| Dec 31, 2021 | -509,893.78 |
| Jun 30, 2021 | -6.46 Mn |
| Dec 31, 2020 | -696,559.00 |
| Jun 30, 2020 | -1.92 Mn |
| Dec 31, 2019 | 22,195.00 |
| Dec 31, 2018 | -112,270.00 |
| Dec 31, 2017 | 21,749.18 |
| Dec 31, 2016 | 110.83 |
Immuron Exchange Rate Effect 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=exchange-rate-effect&ticker=IMRN&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "IMRN", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=exchange-rate-effect&ticker=IMRN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();