Lakefront Biotherapeutics (LKFT) Exchange Rate Effect (2016 - 2026)
Lakefront Biotherapeutics' Exchange Rate Effect came in at $819,522 for the quarter ended Mar 31, 2026, compared with -$1.37 million a year earlier.
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Analysis
Lakefront Biotherapeutics (LKFT) Exchange Rate Effect (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Mar 31, 2026, Lakefront Biotherapeutics reported Exchange Rate Effect of -$6.42 million; for the year ended Dec 31, 2025, it came in at -$5.03 million.
- Going back by year, Exchange Rate Effect was $1.93 million in the year ended Dec 31, 2024, -$1.64 million in the year ended Dec 31, 2023, $23.5 million in the year ended Dec 31, 2022 (-65.0%) and $67.17 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Mar 31, 2026 represents the highest quarterly Exchange Rate Effect since the quarter ended Dec 31, 2024.
- Business Quant data shows LKFT's Exchange Rate Effect at -$5.19 million (quarter ended Dec 31, 2025), -$100,539 (quarter ended Sep 30, 2025) and -$1.95 million (quarter ended Jun 30, 2025) in the three quarters before the quarter ended Mar 31, 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,130.22 Bn | 1,098.80 Bn | 19.71 Bn | -52.00 Mn |
| 2 | Johnson & Johnson | 614.95 Bn | 533.47 Bn | 17.26 Bn | 5.00 Mn |
| 3 | AbbVie | 505.05 Bn | 478.16 Bn | 12.70 Bn | -7.00 Mn |
| 4 | Merck | 368.08 Bn | 322.46 Bn | 12.21 Bn | -37.00 Mn |
| 5 | Novartis Ag | 298.32 Bn | 262.31 Bn | 11.24 Bn | -18.00 Mn |
| 6 | Astrazeneca | 261.58 Bn | 235.26 Bn | 12.86 Bn | 9.00 Mn |
| 7 | Amgen | 236.05 Bn | 191.45 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 190.61 Bn | 164.80 Bn | 6.22 Bn | -19.00 Mn |
| 9 | Pfizer | 169.86 Bn | 116.50 Bn | 10.94 Bn | -4.00 Mn |
| 10 | Lakefront Biotherapeutics | 2.01 Bn | 2.01 Bn | 3.51 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2026 | 819,521.96 |
| Dec 31, 2025 | -1.57 Mn |
| Sep 30, 2025 | -100,538.74 |
| Jun 30, 2025 | -1.95 Mn |
| Mar 31, 2025 | -1.37 Mn |
| Dec 31, 2024 | 1.42 Mn |
| Sep 30, 2024 | -533,734.68 |
| Jun 30, 2024 | 473,830.53 |
| Mar 31, 2024 | 542,094.52 |
| Dec 31, 2023 | -984,485.02 |
| Mar 31, 2023 | -272,628.82 |
| Dec 31, 2022 | -3.81 Mn |
| Mar 31, 2022 | 18.36 Mn |
| Jun 30, 2021 | -11.60 Mn |
| Mar 31, 2021 | 38.30 Mn |
| Jun 30, 2020 | -19.69 Mn |
| Mar 31, 2020 | 19.06 Mn |
| Dec 31, 2019 | -46.87 Mn |
| Sep 30, 2019 | 33.95 Mn |
| Jun 30, 2019 | -3.49 Mn |
API Access
Lakefront Biotherapeutics 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=LKFT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "LKFT", "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=LKFT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();