GDS Holdings (GDS) Exchange Rate Effect (2015 - 2026)
GDS Holdings (GDS) posted Exchange Rate Effect of -$10.7 million for Q2 2026, down 156.72% on a QoQ basis from $18.9 million in Q1 2026, and down 390.95% year-over-year from $3.7 million in Q2 2025.
GDS Holdings (GDS) Exchange Rate Effect (2015 - 2026) Analysis & Trends
GDS Holdings has reported Exchange Rate Effect for 12 years, with the latest figure at -$10.7 million in Q2 2026.
- On a quarterly basis, Exchange Rate Effect fell 390.95% year-over-year to -$10.7 million in Q2 2026; TTM through Jun 2026 was -$1.4 million, a 79.86% increase from a year earlier, with the FY2025 full-year figure at -$12.0 million, down 539.27% from the prior year.
- Exchange Rate Effect was -$10.7 million for Q2 2026 at GDS Holdings, down from $18.9 million in the prior quarter.
- The five-year high for Exchange Rate Effect was $48.2 million in Q2 2022, with the low at -$10.7 million in Q2 2026.
- Average Exchange Rate Effect over 5 years is $4.3 million, with a median of -$908878.7 recorded in 2022.
- The sharpest annual moves came in 2025 and 2026: Exchange Rate Effect slumped 516.27% in 2025, then surged 57493.94% in 2026.
- Over 5 years, Exchange Rate Effect stood at -$1.3 million in 2022, then surged by 152.92% to $662000.0 in 2023, then sank by 233.69% to -$885000.0 in 2024, then plunged by 516.27% to -$5.5 million in 2025, then plunged by 96.96% to -$10.7 million in 2026.
- The last three Exchange Rate Effect figures came in at -$10.7 million (Q2 2026), $18.9 million (Q1 2026), and -$5.5 million (Q4 2025), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Exchange Rate Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Equinix | 100.78 Bn | 98.58 Bn | 1.40 Bn | -5.00 Mn |
| 2 | Terawulf | 8.49 Bn | 5.72 Bn | 32.37 Mn | - |
| 3 | Applied Digital | 8.10 Bn | 6.08 Bn | 97.29 Mn | - |
| 4 | Cipher Digital | 7.60 Bn | 3.60 Bn | 9.79 Mn | - |
| 5 | GDS Holdings | 6.77 Bn | 4.71 Bn | 97.89 Mn | -10.74 Mn |
| 6 | Core Scientific | 5.75 Bn | 3.81 Bn | 70.04 Mn | - |
| 7 | Vnet | 1.75 Bn | 868.32 Mn | 74.45 Mn | -3.65 Mn |
| 8 | Sify Technologies | 1.48 Bn | 1.48 Bn | 51.65 Mn | - |
| 9 | WhiteFiber | 736.82 Mn | 676.45 Mn | 18.88 Mn | - |
| 10 | Vulcan Infrastructure & Power | 454.82 Mn | 451.62 Mn | -1.25 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -10.74 Mn |
| Mar 31, 2026 | 18.94 Mn |
| Dec 31, 2025 | -5.45 Mn |
| Sep 30, 2025 | -4.18 Mn |
| Jun 30, 2025 | -2.19 Mn |
| Mar 31, 2025 | -33,000.00 |
| Dec 31, 2024 | -885,000.00 |
| Sep 30, 2024 | -4.01 Mn |
| Jun 30, 2024 | 4.25 Mn |
| Mar 31, 2024 | -1.37 Mn |
| Dec 31, 2023 | 662,000.00 |
| Sep 30, 2023 | -1.40 Mn |
| Jun 30, 2023 | 18.60 Mn |
| Mar 31, 2023 | 3.63 Mn |
| Dec 31, 2022 | -1.25 Mn |
| Sep 30, 2022 | 15.21 Mn |
| Jun 30, 2022 | 48.15 Mn |
| Mar 31, 2022 | -932,757.32 |
| Dec 31, 2021 | 1.38 Mn |
| Sep 30, 2021 | 3.51 Mn |
GDS Holdings 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=GDS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "GDS", "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=GDS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();