Tandem Diabetes Care (TNDM) Inventory (2013 - 2026)
Tandem Diabetes Care (TNDM) posted Inventory of $135.11 million for Q2 2026, down 5.2% from $142.57 million a year earlier but up 6.9% from the prior quarter.
Tandem Diabetes Care (TNDM) Inventory (2013 - 2026) Analysis & Trends
At the end of FY2025, Tandem Diabetes Care's Inventory came in at $128.77 million, down 13.9% from FY2024.
- Annual Inventory shows a five-year compound annual growth rate of 15.1% (FY2020 to FY2025).
- In prior years, Tandem Diabetes Care's Inventory was $149.61 million in FY2024 (-5.3%), $157.94 million in FY2023 (+42.1%), $111.12 million in FY2022 (+62.1%) and $68.55 million in FY2021 (+7.6%).
- Quarterly Inventory has run from a low of $65.73 million in Q3 2021 to a high of $161.66 million in Q2 2024 over five years.
- On a year-over-year basis, Inventory has declined in each of the last seven quarters, with an average decline of 7.3% over the last eight quarters.
- The strongest year-over-year quarter for Inventory in the past five years was Q2 2023, with growth of 67.5%; the weakest was Q4 2025, with a decline of 13.9%.
- According to Business Quant data, Inventory for the three prior quarters was $126.4 million (Q1 2026), $128.77 million (Q4 2025) and $137.28 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 257.99 Bn | 237.02 Bn | 4.88 Bn | 5.63 Bn |
| 2 | Abbott Laboratories | 175.01 Bn | 145.44 Bn | 7.27 Bn | 7.32 Bn |
| 3 | Danaher | 164.93 Bn | 148.74 Bn | 3.61 Bn | 3.26 Bn |
| 4 | Intuitive Surgical | 151.84 Bn | 131.26 Bn | 1.96 Bn | 2.03 Bn |
| 5 | Medtronic | 119.05 Bn | 84.30 Bn | 6.34 Bn | 6.22 Bn |
| 6 | Stryker | 113.89 Bn | 100.00 Bn | 4.50 Bn | 5.52 Bn |
| 7 | Boston Scientific | 65.37 Bn | 60.13 Bn | 3.85 Bn | 3.24 Bn |
| 8 | Becton Dickinson | 53.36 Bn | 50.51 Bn | 2.32 Bn | 3.32 Bn |
| 9 | Edwards Lifesciences | 50.83 Bn | 34.83 Bn | 1.35 Bn | 1.13 Bn |
| 10 | Tandem Diabetes Care | 1.13 Bn | -508.32 Mn | 144.78 Mn | 135.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 135.11 Mn |
| Mar 31, 2026 | 126.40 Mn |
| Dec 31, 2025 | 128.77 Mn |
| Sep 30, 2025 | 137.28 Mn |
| Jun 30, 2025 | 142.57 Mn |
| Mar 31, 2025 | 141.17 Mn |
| Dec 31, 2024 | 149.61 Mn |
| Sep 30, 2024 | 152.44 Mn |
| Jun 30, 2024 | 161.66 Mn |
| Mar 31, 2024 | 153.89 Mn |
| Dec 31, 2023 | 157.94 Mn |
| Sep 30, 2023 | 143.49 Mn |
| Jun 30, 2023 | 147.60 Mn |
| Mar 31, 2023 | 131.56 Mn |
| Dec 31, 2022 | 111.12 Mn |
| Sep 30, 2022 | 104.77 Mn |
| Jun 30, 2022 | 88.10 Mn |
| Mar 31, 2022 | 79.99 Mn |
| Dec 31, 2021 | 68.55 Mn |
| Sep 30, 2021 | 65.73 Mn |
Tandem Diabetes Care Inventory 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=inventory&ticker=TNDM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "inventory", "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=inventory&ticker=TNDM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();