TELA Bio (TELA) Return on Capital Employed [ROCE] (2019 - 2026)
TELA Bio (TELA) recorded Return on Capital Employed [ROCE] of -72.99% in Q2 2026, down 3.11 percentage points from -69.89% a year earlier and down 14.52 percentage points from the prior quarter.
TELA Bio (TELA) Return on Capital Employed [ROCE] (2019 - 2026) Analysis & Trends
For FY2025, TELA Bio reported Return on Capital Employed [ROCE] of -51.13%, up 0.01 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] has a five-year change of -15.32 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Capital Employed [ROCE] came in at -51.14% in FY2024 (+27.59 pp), -78.73% in FY2023 (-4.85 pp), -73.88% in FY2022 (-27.81 pp) and -46.07% in FY2021 (-10.26 pp).
- Quarterly Return on Capital Employed [ROCE] has ranged from -95.69% in Q3 2024 to -46.09% in Q3 2021 over the past five years.
- On a year-over-year basis, Return on Capital Employed [ROCE] rose in five of the last eight quarters, with an average year-over-year change of -1.03 percentage points.
- Peak year-over-year performance for Return on Capital Employed [ROCE] in the last five years was a gain of 21.17 percentage points in Q3 2025, against a drop of 43.39 percentage points in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at -58.47% (Q1 2026), -63.06% (Q4 2025) and -74.52% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | 8.51% |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | 7.18% |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 6.23% |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 18.68% |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | 13.86% |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 13.22% |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 9.99% |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 11.59% |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 4.76% |
| 10 | TELA Bio | 46.15 Mn | -97.32 Mn | 12.31 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -72.99% |
| Mar 31, 2026 | -58.47% |
| Dec 31, 2025 | -63.06% |
| Sep 30, 2025 | -74.52% |
| Jun 30, 2025 | -69.89% |
| Mar 31, 2025 | -60.82% |
| Dec 31, 2024 | -62.95% |
| Sep 30, 2024 | -95.69% |
| Jun 30, 2024 | -76.14% |
| Mar 31, 2024 | -62.99% |
| Dec 31, 2023 | -67.07% |
| Sep 30, 2023 | -54.60% |
| Jun 30, 2023 | -63.80% |
| Mar 31, 2023 | -82.63% |
| Dec 31, 2022 | -63.63% |
| Sep 30, 2022 | -74.10% |
| Jun 30, 2022 | -84.39% |
| Mar 31, 2022 | -68.63% |
| Dec 31, 2021 | -53.45% |
| Sep 30, 2021 | -46.09% |
TELA Bio Return on Capital Employed [ROCE] 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=return-on-capital-employed-%5Broce%5D&ticker=TELA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "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=return-on-capital-employed-%5Broce%5D&ticker=TELA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();