Eli Lilly (LLY) Exchange Rate Effect (2009 - 2026)
Eli Lilly (LLY) reported Exchange Rate Effect of -$52 million for Q2 2026, compared with $275 million a year earlier.
Eli Lilly (LLY) Exchange Rate Effect (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Eli Lilly's Exchange Rate Effect came in at -$20 million; for FY2025, it came in at $372 million.
- Exchange Rate Effect has a five-year compound annual growth rate of 11.5% (FY2020 to FY2025).
- By year, Exchange Rate Effect came in at -$297 million in FY2024, $169 million in FY2023, -$167.6 million in FY2022 and -$205.7 million in FY2021.
- Five-year quarterly Exchange Rate Effect spans a low of -$428.8 million in Q4 2024 and a high of $275 million in Q2 2025.
- Per Business Quant data, the three quarters before Q2 2026 came in at $67 million (Q1 2026), -$67.1 million (Q4 2025) and $32.1 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Eli Lilly | 1,136.97 Bn | 1,105.55 Bn | 19.71 Bn | -52.00 Mn |
| 2 | Johnson & Johnson | 619.72 Bn | 538.25 Bn | 17.26 Bn | 5.00 Mn |
| 3 | AbbVie | 503.40 Bn | 476.52 Bn | 12.70 Bn | -7.00 Mn |
| 4 | Merck | 370.15 Bn | 324.53 Bn | 12.21 Bn | -37.00 Mn |
| 5 | Novartis Ag | 298.64 Bn | 262.63 Bn | 11.24 Bn | -18.00 Mn |
| 6 | Astrazeneca | 261.07 Bn | 234.76 Bn | 12.86 Bn | 9.00 Mn |
| 7 | Amgen | 237.00 Bn | 192.40 Bn | 7.24 Bn | - |
| 8 | Gilead Sciences | 191.24 Bn | 165.43 Bn | 6.22 Bn | -19.00 Mn |
| 9 | Pfizer | 170.31 Bn | 116.96 Bn | 10.94 Bn | -4.00 Mn |
| 10 | Vertex Pharmaceuticals | 133.33 Bn | 105.34 Bn | 2.84 Bn | -3.70 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -52.00 Mn |
| Mar 31, 2026 | 67.00 Mn |
| Dec 31, 2025 | -67.10 Mn |
| Sep 30, 2025 | 32.10 Mn |
| Jun 30, 2025 | 275.00 Mn |
| Mar 31, 2025 | 132.00 Mn |
| Dec 31, 2024 | -428.80 Mn |
| Sep 30, 2024 | 226.90 Mn |
| Jun 30, 2024 | -59.60 Mn |
| Mar 31, 2024 | -35.50 Mn |
| Dec 31, 2023 | 129.70 Mn |
| Sep 30, 2023 | 5.30 Mn |
| Jun 30, 2023 | 9.20 Mn |
| Mar 31, 2023 | 24.80 Mn |
| Dec 31, 2022 | -128.20 Mn |
| Sep 30, 2022 | -3.60 Mn |
| Jun 30, 2022 | -69.40 Mn |
| Mar 31, 2022 | 33.60 Mn |
| Dec 31, 2021 | -220.70 Mn |
| Sep 30, 2021 | 16.60 Mn |
Eli Lilly 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=LLY&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "LLY", "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=LLY&period=max&api_key=YOUR_API_KEY");
const data = await res.json();