Transcat (TRNS) Long-Term Debt Repayments (2010 - 2025)
Transcat (TRNS) posted Long-Term Debt Repayments of $12 million for fiscal Q3 2026 (quarter ended Dec 27, 2025), up 158.0% from $4.65 million a year earlier but down 41.9% from the prior quarter.
Transcat (TRNS) Long-Term Debt Repayments (2010 - 2025) Analysis & Trends
For the trailing twelve months through Dec 27, 2025, Long-Term Debt Repayments at Transcat was $59.73 million; for FY2025 (ended Mar 29, 2025), it came in at $2.34 million, up 4.0% from FY2024.
- Annual Long-Term Debt Repayments has increased for five consecutive fiscal years, with a five-year compound annual growth rate of 4.2% (FY2020 to FY2025).
- In prior fiscal years, Transcat's Long-Term Debt Repayments was $2.25 million in FY2024 (+6.0%), $2.12 million in FY2023 (+0.3%), $2.11 million in FY2022 (+6.7%) and $1.98 million in FY2021 (+4.4%).
- Quarterly Long-Term Debt Repayments has run from a low of -$2.31 million in fiscal Q4 2025 to a high of $29.4 million in fiscal Q1 2026 over five years.
- The strongest year-over-year quarter for Long-Term Debt Repayments in the past five years was fiscal Q3 2025, with growth of 721.7%; the weakest was fiscal Q1 2023, with a decline of 19.4%.
- According to Business Quant data, Long-Term Debt Repayments for the three prior fiscal quarters was $20.64 million (Q2 2026), $29.4 million (Q1 2026) and -$2.31 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Accenture | 157.60 Bn | 116.88 Bn | 6.13 Bn | - |
| 2 | Cintas | 89.52 Bn | 88.60 Bn | 1.55 Bn | - |
| 3 | Iron Mountain | 32.94 Bn | 32.13 Bn | 1.07 Bn | 6.75 Bn |
| 4 | Rollins | 16.91 Bn | 16.45 Bn | 569.95 Mn | - |
| 5 | APi | 16.76 Bn | 13.80 Bn | 703.00 Mn | 302.00 Mn |
| 6 | Gartner | 15.49 Bn | 9.18 Bn | 1.19 Bn | - |
| 7 | UL Solutions | 14.82 Bn | 13.57 Bn | 417.00 Mn | 57.00 Mn |
| 8 | Aramark | 13.80 Bn | 11.74 Bn | 430.34 Mn | 11.63 Mn |
| 9 | Rentokil Initial | 11.52 Bn | 5.03 Bn | - | - |
| 10 | Transcat | 762.09 Mn | 746.73 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 27, 2025 | 12.00 Mn |
| Sep 27, 2025 | 20.04 Mn |
| Jun 28, 2025 | 30.00 Mn |
| Mar 29, 2025 | -2.31 Mn |
| Dec 28, 2024 | 4.65 Mn |
| Sep 28, 2024 | -576,000.00 |
| Jun 29, 2024 | 576,000.00 |
| Mar 30, 2024 | 570,000.00 |
| Dec 23, 2023 | 566,000.00 |
| Sep 23, 2023 | 559,000.00 |
| Jun 24, 2023 | 553,000.00 |
| Mar 25, 2023 | 551,000.00 |
| Dec 24, 2022 | 544,000.00 |
| Sep 24, 2022 | 536,000.00 |
| Jun 25, 2022 | 490,000.00 |
| Mar 26, 2022 | 549,000.00 |
| Dec 25, 2021 | 544,000.00 |
| Sep 25, 2021 | 413,000.00 |
| Jun 26, 2021 | 608,000.00 |
| Mar 27, 2021 | 505,000.00 |
Transcat Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=TRNS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "TRNS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=long-term-debt-repayments&ticker=TRNS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();