TELA Bio (TELA) Change in Accrued Expenses (2018 - 2026)
TELA Bio's Change in Accured Expenses came in at $1.32 million for Q2 2026, down 5.5% from $1.39 million a year earlier.
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Analysis
TELA Bio (TELA) Change in Accrued Expenses (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, TELA Bio reported Change in Accured Expenses of $1.12 million, down 12.9% year-over-year; for FY2025, it was $1.76 million.
- Change in Accured Expenses carries a five-year compound annual growth rate of -5.4% (FY2020 to FY2025).
- Going back by year, Change in Accured Expenses was -$1.81 million in FY2024, $4.18 million in FY2023 (+74.1%), $2.4 million in FY2022 (-10.3%) and $2.67 million in FY2021 (+15.2%).
- The five-year range for quarterly Change in Accured Expenses is -$3.47 million (Q1 2024) to $2.8 million (Q4 2023).
- Year-over-year, Change in Accured Expenses increased in two of the last four quarters, with growth averaging 2.4%.
- The fastest year-over-year change in Change in Accured Expenses over five years came in Q3 2023 (growth of 153.3%), and the weakest in Q3 2025 (a decline of 61.9%).
- Business Quant data shows TELA's Change in Accured Expenses at -$1.5 million (Q1 2026), $663,000 (Q4 2025) and $633,000 (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accrued Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Thermo Fisher Scientific | 266.22 Bn | 242.86 Bn | 5.13 Bn | - |
| 2 | Abbott Laboratories | 191.31 Bn | 165.77 Bn | 7.39 Bn | - |
| 3 | Danaher | 166.16 Bn | 145.82 Bn | 3.84 Bn | 30.00 Mn |
| 4 | Intuitive Surgical | 155.98 Bn | 136.40 Bn | 2.08 Bn | 80.10 Mn |
| 5 | Medtronic | 130.05 Bn | 96.18 Bn | 6.34 Bn | -531.00 Mn |
| 6 | Stryker | 123.40 Bn | 109.59 Bn | 4.25 Bn | 77.00 Mn |
| 7 | Boston Scientific | 64.81 Bn | 60.48 Bn | 3.43 Bn | 89.00 Mn |
| 8 | Edwards Lifesciences | 59.87 Bn | 43.18 Bn | 1.35 Bn | 67.20 Mn |
| 9 | Medline | 53.84 Bn | 50.96 Bn | 1.93 Bn | 255.00 Mn |
| 10 | TELA Bio | 46.15 Mn | -97.32 Mn | 12.31 Mn | -1.20 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -1.20 Mn |
| Jun 30, 2026 | 1.32 Mn |
| Mar 31, 2026 | -1.50 Mn |
| Dec 31, 2025 | 663,000.00 |
| Sep 30, 2025 | 633,000.00 |
| Jun 30, 2025 | 1.39 Mn |
| Mar 31, 2025 | -930,000.00 |
| Dec 31, 2024 | -842,000.00 |
| Sep 30, 2024 | 1.66 Mn |
| Jun 30, 2024 | 847,000.00 |
| Mar 31, 2024 | -3.47 Mn |
| Dec 31, 2023 | 2.80 Mn |
| Sep 30, 2023 | 1.48 Mn |
| Jun 30, 2023 | 1.59 Mn |
| Mar 31, 2023 | -1.69 Mn |
| Dec 31, 2022 | 1.60 Mn |
| Sep 30, 2022 | 583,000.00 |
| Jun 30, 2022 | 2.14 Mn |
| Mar 31, 2022 | -1.92 Mn |
| Dec 31, 2021 | 1.11 Mn |
API Access
TELA Bio Change in Accrued 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=change-in-accured-expenses&ticker=TELA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-expenses", "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-accured-expenses&ticker=TELA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();