TELA Bio (TELA) Asset Writedowns and Impairment (2018 - 2026)
TELA Bio's Asset Writedowns and Impairment was $298,000 in Q2 2026, up 6.4% from $280,000 a year earlier but down 68.1% from the prior quarter.
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Analysis
TELA Bio (TELA) Asset Writedowns and Impairment (2018 - 2026) Analysis & Trends
On a trailing twelve-month basis, TELA Bio's Asset Writedowns and Impairment was $2.68 million through Jun 30, 2026, down 9.3% year-over-year; for FY2025, it came in at $2.36 million, down 20.1% from FY2024.
- Asset Writedowns and Impairment shows a five-year compound annual growth rate of 12.2% (FY2020 to FY2025).
- In earlier years, Asset Writedowns and Impairment was $2.96 million in FY2024 (+109.0%), $1.41 million in FY2023 (-24.2%), $1.87 million in FY2022 (+29.7%) and $1.44 million in FY2021 (+8.4%).
- Quarterly Asset Writedowns and Impairment has moved between $57,000 (Q4 2022) and $1.39 million (Q4 2024) over five years.
- Compared with a year earlier, Asset Writedowns and Impairment was higher in five of the last eight quarters, with growth averaging 45.0%.
- The best year-over-year quarter for Asset Writedowns and Impairment over five years was Q4 2023 (growth of 640.4%); the worst was Q2 2023 (a decline of 63.2%).
- Per Business Quant data, TELA's Asset Writedowns and Impairment in the three quarters before Q2 2026 was $935,000 (Q1 2026), $818,000 (Q4 2025) and $632,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 242.18 Bn | 221.33 Bn | 4.88 Bn |
| 2 | Abbott Laboratories | 168.71 Bn | 139.79 Bn | 7.27 Bn |
| 3 | Danaher | 150.46 Bn | 134.27 Bn | 3.61 Bn |
| 4 | Intuitive Surgical | 138.71 Bn | 118.26 Bn | 1.96 Bn |
| 5 | Medtronic | 110.54 Bn | 76.41 Bn | 6.34 Bn |
| 6 | Stryker | 105.66 Bn | 91.78 Bn | 4.50 Bn |
| 7 | Boston Scientific | 61.74 Bn | 56.75 Bn | 3.85 Bn |
| 8 | Edwards Lifesciences | 49.09 Bn | 33.21 Bn | 1.35 Bn |
| 9 | Becton Dickinson | 48.16 Bn | 45.31 Bn | 2.32 Bn |
| 10 | TELA Bio | 65.45 Mn | -85.07 Mn | 13.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 298,000.00 |
| Mar 31, 2026 | 935,000.00 |
| Dec 31, 2025 | 818,000.00 |
| Sep 30, 2025 | 632,000.00 |
| Jun 30, 2025 | 280,000.00 |
| Mar 31, 2025 | 630,000.00 |
| Dec 31, 2024 | 1.39 Mn |
| Sep 30, 2024 | 655,000.00 |
| Jun 30, 2024 | 348,000.00 |
| Mar 31, 2024 | 560,000.00 |
| Dec 31, 2023 | 422,000.00 |
| Sep 30, 2023 | 288,000.00 |
| Jun 30, 2023 | 128,000.00 |
| Mar 31, 2023 | 576,000.00 |
| Dec 31, 2022 | 57,000.00 |
| Sep 30, 2022 | 616,000.00 |
| Jun 30, 2022 | 348,000.00 |
| Mar 31, 2022 | 845,000.00 |
| Dec 31, 2021 | 105,000.00 |
| Sep 30, 2021 | 652,000.00 |
API Access
TELA Bio Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=TELA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=TELA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();