CDT Equity (CDT) Exchange Rate Effect (2023 - 2026)
CDT Equity (CDT) recorded Exchange Rate Effect of $7,000 in Q2 2026, down 73.1% from $26,000 a year earlier.
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Analysis
CDT Equity (CDT) Exchange Rate Effect (2023 - 2026) Analysis & Trends
On a TTM basis, CDT Equity's Exchange Rate Effect came in at -$110,000 as of Jun 30, 2026; for FY2025, it came in at -$104,000.
- Across earlier years, Exchange Rate Effect came in at -$16,000 in FY2024, $299,000 in FY2023 and $1,000 in FY2022.
- Quarterly Exchange Rate Effect has ranged from -$83,000 in Q3 2025 to $304,000 in Q4 2023 over the past five years.
- Per Business Quant, the preceding three quarters came in at -$5,000 (Q1 2026), -$29,000 (Q4 2025) and -$83,000 (Q3 2025).
Peer Set
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 | CDT Equity | 2,999.72 | -6.19 Mn | - | 7,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7,000.00 |
| Mar 31, 2026 | -5,000.00 |
| Dec 31, 2025 | -29,000.00 |
| Sep 30, 2025 | -83,000.00 |
| Jun 30, 2025 | 26,000.00 |
| Mar 31, 2025 | -18,000.00 |
| Dec 31, 2024 | 1,000.00 |
| Sep 30, 2024 | 11,000.00 |
| Jun 30, 2024 | -1,000.00 |
| Mar 31, 2024 | -27,000.00 |
| Dec 31, 2023 | 304,000.00 |
| Sep 30, 2023 | -11,000.00 |
| Jun 30, 2023 | 5,000.00 |
| Mar 31, 2023 | 1,000.00 |
API Access
CDT Equity 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=CDT&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "CDT", "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=CDT&period=max&api_key=YOUR_API_KEY");
const data = await res.json();