Tandem Diabetes Care (TNDM) Exchange Rate Effect (2019 - 2026)
Tandem Diabetes Care (TNDM) reported Exchange Rate Effect of $3.31 million for Q2 2026, up 104.4% from $1.62 million a year earlier.
Tandem Diabetes Care (TNDM) Exchange Rate Effect (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Tandem Diabetes Care's Exchange Rate Effect came in at $4.1 million, up 365.8% year-over-year; for FY2025, it came in at $1.61 million, up 28.3% from FY2024.
- Exchange Rate Effect has a five-year compound annual growth rate of 33.0% (FY2020 to FY2025).
- By year, Exchange Rate Effect came in at $1.26 million in FY2024, -$212,000 in FY2023, $827,000 in FY2022 (+440.5%) and $153,000 in FY2021 (-60.5%).
- The Q2 2026 figure ranks as the highest quarterly Exchange Rate Effect in data going back to Q1 2019.
- Year over year, Exchange Rate Effect gained in three of the last four quarters, with growth averaging 164.4%.
- The high point for year-over-year Exchange Rate Effect in five years was Q4 2022 (growth of 903.9%); the low point was Q3 2021 (a decline of 98.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at -$1.08 million (Q1 2026), $1.27 million (Q4 2025) and $605,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FX Effect (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 251.30 Bn | 230.45 Bn | 4.88 Bn | 98.00 Mn |
| 2 | Abbott Laboratories | 174.70 Bn | 145.78 Bn | 7.27 Bn | 4.00 Mn |
| 3 | Danaher | 158.94 Bn | 142.76 Bn | 3.61 Bn | -13.00 Mn |
| 4 | Intuitive Surgical | 145.87 Bn | 125.42 Bn | 1.96 Bn | 7.10 Mn |
| 5 | Medtronic | 111.49 Bn | 77.36 Bn | 6.34 Bn | -89.00 Mn |
| 6 | Stryker | 106.96 Bn | 93.08 Bn | 4.50 Bn | -14.00 Mn |
| 7 | Boston Scientific | 63.62 Bn | 58.63 Bn | 3.85 Bn | 1.00 Mn |
| 8 | Edwards Lifesciences | 50.80 Bn | 34.92 Bn | 1.35 Bn | 3.80 Mn |
| 9 | Becton Dickinson | 49.59 Bn | 46.74 Bn | 2.32 Bn | 2.00 Mn |
| 10 | Tandem Diabetes Care | 1.15 Bn | -485.75 Mn | 144.78 Mn | 3.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.31 Mn |
| Mar 31, 2026 | -1.08 Mn |
| Dec 31, 2025 | 1.27 Mn |
| Sep 30, 2025 | 605,000.00 |
| Jun 30, 2025 | 1.62 Mn |
| Mar 31, 2025 | -1.88 Mn |
| Dec 31, 2024 | 2.17 Mn |
| Sep 30, 2024 | -1.02 Mn |
| Jun 30, 2024 | 535,000.00 |
| Mar 31, 2024 | -423,000.00 |
| Dec 31, 2023 | 440,000.00 |
| Sep 30, 2023 | -759,000.00 |
| Jun 30, 2023 | -334,000.00 |
| Mar 31, 2023 | 441,000.00 |
| Dec 31, 2022 | 1.03 Mn |
| Sep 30, 2022 | -186,000.00 |
| Jun 30, 2022 | -24,000.00 |
| Mar 31, 2022 | 3,000.00 |
| Dec 31, 2021 | 103,000.00 |
| Sep 30, 2021 | 6,000.00 |
Tandem Diabetes Care 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=TNDM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "exchange-rate-effect", "ticker": "TNDM", "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=TNDM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();