TELA Bio (TELA) Change in Inventory (2018 - 2026)
TELA Bio (TELA) recorded Change in Inventory of -$862,000 in Q2 2026, compared with -$1.96 million a year earlier.
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Analysis
TELA Bio (TELA) Change in Inventory (2018 - 2026) Analysis & Trends
On a TTM basis, TELA Bio's Change in Inventory came in at $2.41 million as of Jun 30, 2026, up 194.9% year-over-year; for FY2025, it came in at $503,000, down 83.1% from FY2024.
- Annual Change in Inventory has a five-year compound annual growth rate of -4.1% (FY2020 to FY2025).
- Across earlier years, Change in Inventory came in at $2.97 million in FY2024 (+9.3%), $2.72 million in FY2023 (-55.2%), $6.07 million in FY2022 (+16.9%) and $5.19 million in FY2021 (+737.7%).
- Quarterly Change in Inventory has ranged from -$1.96 million in Q2 2025 to $3.86 million in Q1 2023 over the past five years.
- On a year-over-year basis, Change in Inventory rose in three of the last five quarters, with growth averaging 9.1%.
- Peak year-over-year performance for Change in Inventory in the last five years was growth of 157.7% in Q1 2022, against a decline of 77.8% in Q3 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $2.16 million (Q1 2026), $275,000 (Q4 2025) and $838,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Inventory (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 249.71 Bn | 228.86 Bn | 4.88 Bn | - |
| 2 | Abbott Laboratories | 171.00 Bn | 142.08 Bn | 7.27 Bn | 301.00 Mn |
| 3 | Danaher | 155.79 Bn | 139.61 Bn | 3.61 Bn | 46.00 Mn |
| 4 | Intuitive Surgical | 143.91 Bn | 123.46 Bn | 1.96 Bn | 248.00 Mn |
| 5 | Medtronic | 110.42 Bn | 76.29 Bn | 6.34 Bn | 240.00 Mn |
| 6 | Stryker | 105.71 Bn | 91.82 Bn | 4.50 Bn | 113.00 Mn |
| 7 | Boston Scientific | 63.26 Bn | 58.27 Bn | 3.85 Bn | 133.00 Mn |
| 8 | Edwards Lifesciences | 49.80 Bn | 33.91 Bn | 1.35 Bn | 23.50 Mn |
| 9 | Becton Dickinson | 48.78 Bn | 45.93 Bn | 2.32 Bn | - |
| 10 | TELA Bio | 66.03 Mn | -84.50 Mn | 13.94 Mn | -862,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -862,000.00 |
| Mar 31, 2026 | 2.16 Mn |
| Dec 31, 2025 | 275,000.00 |
| Sep 30, 2025 | 838,000.00 |
| Jun 30, 2025 | -1.96 Mn |
| Mar 31, 2025 | 1.35 Mn |
| Dec 31, 2024 | 616,000.00 |
| Sep 30, 2024 | 811,000.00 |
| Jun 30, 2024 | 115,000.00 |
| Mar 31, 2024 | 1.43 Mn |
| Dec 31, 2023 | -785,000.00 |
| Sep 30, 2023 | 567,000.00 |
| Jun 30, 2023 | -924,000.00 |
| Mar 31, 2023 | 3.86 Mn |
| Dec 31, 2022 | -467,000.00 |
| Sep 30, 2022 | 2.55 Mn |
| Jun 30, 2022 | 482,000.00 |
| Mar 31, 2022 | 3.51 Mn |
| Dec 31, 2021 | 1.49 Mn |
| Sep 30, 2021 | 2.43 Mn |
API Access
TELA Bio Change in 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=change-in-inventory&ticker=TELA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-inventory", "ticker": "TELA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-inventory&ticker=TELA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();