Digi Power X (DGXX) Exchange Rate Effect (2021 - 2023)
Digi Power X (DGXX) reported Exchange Rate Effect of $341.27 billion for FY2024, down 81.6% from $1.85 trillion in FY2023.
Analysis
Digi Power X (DGXX) Exchange Rate Effect (2021 - 2023) Analysis & Trends
Dating back to FY2020, Digi Power X's Exchange Rate Effect record includes 5 years.
- Exchange Rate Effect has a four-year compound annual growth rate of -28.5% (FY2020 to FY2024).
- The FY2024 figure ranks as the lowest annual Exchange Rate Effect since FY2021.
- According to Business Quant data, Exchange Rate Effect came in at $1.85 trillion in FY2023 (+102.1%), $915.72 billion in FY2022, $31.25 billion in FY2021 (-97.6%) and $1.3 trillion in FY2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Microsoft | 3,809.31 Bn | 3,732.47 Bn | 60.48 Bn | -1.00 Mn |
| 2 | International Business Machines | 207.26 Bn | 158.16 Bn | 9.91 Bn | -34.00 Mn |
| 3 | Cloudflare | 111.87 Bn | 95.40 Bn | 499.52 Mn | - |
| 4 | Equinix | 99.81 Bn | 88.37 Bn | 1.40 Bn | -5.00 Mn |
| 5 | Nebius | 59.68 Bn | 33.11 Bn | 448.70 Mn | 5.90 Mn |
| 6 | CoreWeave | 48.00 Bn | 35.10 Bn | 1.70 Bn | - |
| 7 | Verisign | 25.49 Bn | 22.71 Bn | 384.60 Mn | 300,000.00 |
| 8 | Nutanix | 19.05 Bn | 10.74 Bn | 651.35 Mn | - |
| 9 | Akamai Technologies | 15.27 Bn | 8.68 Bn | 613.75 Mn | 6.25 Mn |
| 10 | Digi Power X | 404.03 Mn | 133.40 Mn | -5.52 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2023 | -529,648.00 |
| Mar 31, 2023 | 1.85 Mn |
| Dec 31, 2022 | 915.72 Bn |
| Sep 30, 2022 | -3.72 Mn |
| Jun 30, 2022 | -1.92 Mn |
| Mar 31, 2022 | 915,715.00 |
| Dec 31, 2021 | 31.25 Bn |
| Sep 30, 2021 | -1.42 Mn |
| Jun 30, 2021 | 16.42 Mn |
| Mar 31, 2021 | -15.62 Mn |
API Access
Digi Power X 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=DGXX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "DGXX", "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=DGXX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();