Acco Brands (ACCO) Long-Term Debt Repayments (2011 - 2026)
Acco Brands (ACCO) recorded Long-Term Debt Repayments of $18 million in Q2 2026, down 12.2% from $20.5 million a year earlier and down 10.4% from the prior quarter.
Acco Brands (ACCO) Long-Term Debt Repayments (2011 - 2026) Analysis & Trends
On a TTM basis, Acco Brands' Long-Term Debt Repayments came in at $185.2 million as of Jun 30, 2026, down 36.7% year-over-year; for FY2025, it was $185.1 million, down 36.7% from FY2024.
- Annual Long-Term Debt Repayments has a five-year compound annual growth rate of 4.0% (FY2020 to FY2025).
- Across earlier years, Long-Term Debt Repayments came in at $292.5 million in FY2024 (+46.8%), $199.2 million in FY2023 (-9.7%), $220.5 million in FY2022 (-71.2%) and $766.3 million in FY2021 (+404.5%).
- The Q2 2026 figure is the lowest quarterly Long-Term Debt Repayments since Q1 2025.
- On a year-over-year basis, Long-Term Debt Repayments rose in four of the last eight quarters, with growth averaging 19.3%.
- Peak year-over-year performance for Long-Term Debt Repayments in the last five years was growth of 225.8% in Q4 2024, against a decline of 99.0% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $20.1 million (Q1 2026), $39.3 million (Q4 2025) and $107.8 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Hasbro | 16.53 Bn | 12.29 Bn | 867.20 Mn | 54.90 Mn |
| 2 | Amer Sports | 16.08 Bn | 13.68 Bn | 1.07 Bn | -40.40 Mn |
| 3 | Acushnet Holdings | 4.92 Bn | 4.66 Bn | 445.83 Mn | 428.54 Mn |
| 4 | Mattel | 4.89 Bn | 1.57 Bn | 542.12 Mn | - |
| 5 | YETI Holdings | 3.29 Bn | 2.61 Bn | 322.52 Mn | - |
| 6 | Callaway Golf | 2.59 Bn | 45.77 Mn | 306.70 Mn | 600,000.00 |
| 7 | Peloton Interactive | 2.31 Bn | -2.31 Bn | 344.40 Mn | 2.50 Mn |
| 8 | Unusual Machines | 790.17 Mn | 326.66 Mn | 5.80 Mn | - |
| 9 | Sturm Ruger | 765.14 Mn | 369.14 Mn | 33.74 Mn | - |
| 10 | Acco Brands | 442.74 Mn | 70.54 Mn | 134.10 Mn | 18.00 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.00 Mn |
| Mar 31, 2026 | 20.10 Mn |
| Dec 31, 2025 | 39.30 Mn |
| Sep 30, 2025 | 107.80 Mn |
| Jun 30, 2025 | 20.50 Mn |
| Mar 31, 2025 | 17.50 Mn |
| Dec 31, 2024 | 175.30 Mn |
| Sep 30, 2024 | 79.10 Mn |
| Jun 30, 2024 | 19.20 Mn |
| Mar 31, 2024 | 18.90 Mn |
| Dec 31, 2023 | 53.80 Mn |
| Sep 30, 2023 | 117.20 Mn |
| Jun 30, 2023 | 18.20 Mn |
| Mar 31, 2023 | 10.00 Mn |
| Dec 31, 2022 | 125.30 Mn |
| Sep 30, 2022 | 69.60 Mn |
| Jun 30, 2022 | 15.30 Mn |
| Mar 31, 2022 | 10.30 Mn |
| Dec 31, 2021 | 127.50 Mn |
| Sep 30, 2021 | 109.60 Mn |
Acco Brands 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=ACCO&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "ticker": "ACCO", "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=ACCO&period=max&api_key=YOUR_API_KEY");
const data = await res.json();