MongoDB (MDB) Exchange Rate Effect (2017 - 2026)
MongoDB's Exchange Rate Effect was -$2.18 million in fiscal Q2 2027 (quarter ended Jul 31, 2026), compared with $68,000 a year earlier.
MongoDB (MDB) Exchange Rate Effect (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, MongoDB's Exchange Rate Effect was $402,000 through Jul 31, 2026, down 91.8% year-over-year; for FY2026 (ended Jan 31, 2026), it was $12.35 million.
- Exchange Rate Effect shows a five-year compound annual growth rate of 57.8% (FY2021 to FY2026).
- In earlier fiscal years, Exchange Rate Effect was -$5.7 million in FY2025, -$433,000 in FY2024, -$2 million in FY2023 and -$1.53 million in FY2022.
- The fiscal Q2 2027 figure marks the lowest quarterly Exchange Rate Effect since fiscal Q4 2025.
- Per Business Quant data, MDB's Exchange Rate Effect in the three fiscal quarters before Q2 2027 was -$1.7 million (Q1 2027), $3.5 million (Q4 2026) and $783,000 (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Palo Alto Networks | 319.55 Bn | 304.63 Bn | 2.30 Bn | -5.00 Mn |
| 2 | CrowdStrike Holdings | 265.46 Bn | 245.90 Bn | 1.10 Bn | -1.73 Mn |
| 3 | Fortinet | 129.36 Bn | 115.29 Bn | 1.64 Bn | - |
| 4 | Snowflake | 115.65 Bn | 102.97 Bn | 1.04 Bn | -1.86 Mn |
| 5 | Datadog | 96.45 Bn | 78.09 Bn | 881.34 Mn | 782,000.00 |
| 6 | Axon Enterprise | 34.50 Bn | 29.03 Bn | 546.45 Mn | -2.45 Mn |
| 7 | Okta | 33.79 Bn | 23.89 Bn | 641.00 Mn | -3.00 Mn |
| 8 | Zscaler | 32.51 Bn | 18.63 Bn | - | - |
| 9 | Baidu | 29.59 Bn | -44.04 Bn | 1.47 Mn | -31.00 Mn |
| 10 | MongoDB | 26.96 Bn | 17.43 Bn | 569.77 Mn | -2.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jul 31, 2026 | -2.18 Mn |
| Apr 30, 2026 | -1.70 Mn |
| Jan 31, 2026 | 3.50 Mn |
| Oct 31, 2025 | 783,000.00 |
| Jul 31, 2025 | 68,000.00 |
| Apr 30, 2025 | 8.00 Mn |
| Jan 31, 2025 | -2.88 Mn |
| Oct 31, 2024 | -274,000.00 |
| Jul 31, 2024 | -968,000.00 |
| Apr 30, 2024 | -1.58 Mn |
| Jan 31, 2024 | 665,000.00 |
| Oct 31, 2023 | -2.51 Mn |
| Jul 31, 2023 | 706,000.00 |
| Apr 30, 2023 | 709,000.00 |
| Jan 31, 2023 | 2.03 Mn |
| Oct 31, 2022 | -1.63 Mn |
| Jul 31, 2022 | -928,000.00 |
| Apr 30, 2022 | -1.47 Mn |
| Jan 31, 2022 | -384,000.00 |
| Oct 31, 2021 | -646,000.00 |
MongoDB 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=MDB&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "MDB", "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=MDB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();