Hub (HUBG) Exchange Rate Effect (2009 - 2025)
Hub (HUBG) posted Exchange Rate Effect of $133000.0 for Q3 2025, up 632.0% on a QoQ basis from -$25000.0 in Q2 2025, and up 2760.0% year-over-year from $4650.3 in Q3 2024.
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Hub (HUBG) Exchange Rate Effect (2009 - 2025) Analysis & Trends
Hub has reported Exchange Rate Effect for 17 years, with the latest figure at $133000.0 in Q3 2025.
- On a quarterly basis, Exchange Rate Effect rose 2760.0% year-over-year to $133000.0 in Q3 2025; TTM through Sep 2025 was $51000.0, a 492.31% increase from a year earlier, with the FY2024 full-year figure at -$89000.0, down 322.5% from the prior year.
- Exchange Rate Effect was $133000.0 for Q3 2025 at Hub, up from -$25000.0 in the prior quarter.
- The five-year high for Exchange Rate Effect was $133000.0 in Q3 2025, with the low at -$64000.0 in Q4 2024.
- Average Exchange Rate Effect over 5 years is $4315.8, with a median of $3000.0 recorded in 2022.
- The sharpest annual moves came in 2023 and 2025: Exchange Rate Effect tumbled 666.67% in 2023, then surged 2760.0% in 2025.
- Over 5 years, Exchange Rate Effect stood at $1000.0 in 2021, then jumped by 1300.0% to $14000.0 in 2022, then dropped by 14.29% to $12000.0 in 2023, then sank by 633.33% to -$64000.0 in 2024, then soared by 307.81% to $133000.0 in 2025.
- The last three Exchange Rate Effect figures came in at $133000.0 (Q3 2025), -$25000.0 (Q2 2025), and $7000.0 (Q1 2025), per Business Quant data.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Copart | 26.66 Bn | 23.33 Bn | 732.88 Mn | 3.12 Mn |
| 2 | Expeditors International Of Washington | 24.38 Bn | 23.35 Bn | 1.09 Bn | 1.27 Mn |
| 3 | C. H. Robinson Worldwide | 17.52 Bn | 17.36 Bn | 1.11 Bn | 269,000.00 |
| 4 | Rb Global | 15.43 Bn | 14.90 Bn | 935.50 Mn | -3.90 Mn |
| 5 | Ryder System | 9.07 Bn | 9.07 Bn | 1.45 Bn | - |
| 6 | Landstar System | 5.72 Bn | 5.38 Bn | 308.86 Mn | -838,000.00 |
| 7 | GXO Logistics | 5.25 Bn | 4.52 Bn | 508.00 Mn | - |
| 8 | Rxo | 3.26 Bn | 3.25 Bn | 302.00 Mn | - |
| 9 | Hub | 1.94 Bn | 1.85 Bn | 250.84 Mn | 133,000.00 |
| 10 | Cryoport | 889.89 Mn | 493.20 Mn | 22.82 Mn | 384,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2025 | 133,000.00 |
| Jun 30, 2025 | -25,000.00 |
| Mar 31, 2025 | 7,000.00 |
| Dec 31, 2024 | -64,000.00 |
| Sep 30, 2024 | -5,000.00 |
| Jun 30, 2024 | -24,000.00 |
| Mar 31, 2024 | 4,000.00 |
| Dec 31, 2023 | 12,000.00 |
| Sep 30, 2023 | -17,000.00 |
| Jun 30, 2023 | 27,000.00 |
| Mar 31, 2023 | 18,000.00 |
| Dec 31, 2022 | 14,000.00 |
| Sep 30, 2022 | 3,000.00 |
| Jun 30, 2022 | 1,000.00 |
| Mar 31, 2022 | 8,000.00 |
| Dec 31, 2021 | 1,000.00 |
| Sep 30, 2021 | -9,000.00 |
| Jun 30, 2021 | 6,000.00 |
| Mar 31, 2021 | -8,000.00 |
| Dec 31, 2020 | 31,000.00 |
API Access
Hub 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=HUBG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "HUBG", "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=HUBG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();