Insulet (PODD) Non Operating Interest Expenses (2010 - 2026)
Insulet's Non Operating Interest Expenses came in at $13.5 million for Q2 2026, down 31.1% from $19.6 million a year earlier and down 8.2% from the prior quarter.
Insulet (PODD) Non Operating Interest Expenses (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Insulet reported Non Operating Interest Expenses of $58.7 million, up 17.9% year-over-year; for FY2025, it was $59.4 million, up 39.1% from FY2024.
- Non Operating Interest Expenses has increased in each of the last three years, though with a four-year compound annual growth rate of -0.9% (FY2021 to FY2025).
- Going back by year, Non Operating Interest Expenses was $42.7 million in FY2024 (+18.0%), $36.2 million in FY2023 (+0.6%), $36 million in FY2022 (-41.7%) and $61.7 million in FY2021.
- The Q2 2026 figure represents the lowest quarterly Non Operating Interest Expenses since Q1 2025.
- Year-over-year, Non Operating Interest Expenses increased in six of the last eight quarters, with growth averaging 29.9%.
- The fastest year-over-year change in Non Operating Interest Expenses over five years came in Q2 2025 (growth of 78.2%), and the weakest in Q2 2026 (a decline of 31.1%).
- Business Quant data shows PODD's Non Operating Interest Expenses at $14.7 million (Q1 2026), $14.9 million (Q4 2025) and $15.6 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | 401.00 Mn |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 351.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 107.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | - |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 186.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 141.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 96.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | - |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | 132.00 Mn |
| 10 | Insulet | 9.05 Bn | 6.56 Bn | 562.60 Mn | 13.50 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 13.50 Mn |
| Mar 31, 2026 | 14.70 Mn |
| Dec 31, 2025 | 14.90 Mn |
| Sep 30, 2025 | 15.60 Mn |
| Jun 30, 2025 | 19.60 Mn |
| Mar 31, 2025 | 9.20 Mn |
| Dec 31, 2024 | 8.60 Mn |
| Sep 30, 2024 | 12.40 Mn |
| Jun 30, 2024 | 11.00 Mn |
| Mar 31, 2024 | 10.70 Mn |
| Dec 31, 2023 | 6.70 Mn |
| Sep 30, 2023 | 10.40 Mn |
| Jun 30, 2023 | 9.70 Mn |
| Mar 31, 2023 | 9.40 Mn |
| Dec 31, 2022 | 8.70 Mn |
| Sep 30, 2022 | 9.20 Mn |
| Dec 31, 2019 | 10.97 Mn |
| Sep 30, 2019 | 9.37 Mn |
| Jun 30, 2019 | 7.64 Mn |
| Mar 31, 2019 | 6.62 Mn |
Insulet Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=PODD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "PODD", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=non-operating-interest-expenses&ticker=PODD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();