Tootsie Roll Industries (TR) Other Non-Current Liabilities (2009 - 2026)
Tootsie Roll Industries' Other Non-Current Liabilities came in at $121.67 million for Q2 2026, up 4.0% from $116.97 million a year earlier and up 2.3% from the prior quarter.
Tootsie Roll Industries (TR) Other Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Tootsie Roll Industries' Other Non-Current Liabilities was $124.26 million, up 11.8% from FY2024.
- Other Non-Current Liabilities has increased in each of the last three years, with a five-year compound annual growth rate of 9.3% (FY2020 to FY2025).
- Going back by year, Other Non-Current Liabilities was $111.19 million in FY2024 (+17.1%), $94.97 million in FY2023 (+24.5%), $76.26 million in FY2022 (-19.3%) and $94.51 million in FY2021 (+18.6%).
- The five-year range for quarterly Other Non-Current Liabilities is $72.58 million (Q3 2022) to $125.13 million (Q3 2025).
- Year-over-year, Other Non-Current Liabilities has increased for 13 consecutive quarters, with growth averaging 13.2% over the last eight quarters.
- The fastest year-over-year change in Other Non-Current Liabilities over five years came in Q3 2024 (growth of 28.1%), and the weakest in Q4 2022 (a decline of 19.3%).
- Business Quant data shows TR's Other Non-Current Liabilities at $118.96 million (Q1 2026), $124.26 million (Q4 2025) and $125.13 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Unilever | 140.61 Bn | 92.06 Bn | - |
| 2 | Mondelez International | 80.56 Bn | 73.83 Bn | 3.99 Bn |
| 3 | Hershey | 33.97 Bn | 30.22 Bn | 1.26 Bn |
| 4 | Kraft Heinz | 27.90 Bn | 14.32 Bn | 2.03 Bn |
| 5 | General Mills | 17.49 Bn | 15.13 Bn | 1.49 Bn |
| 6 | J M Smucker | 13.63 Bn | 13.41 Bn | 979.60 Mn |
| 7 | Mccormick | 12.49 Bn | 11.55 Bn | 794.90 Mn |
| 8 | Hormel Foods | 11.23 Bn | 7.90 Bn | 471.52 Mn |
| 9 | Chewy | 8.65 Bn | 5.94 Bn | 1.01 Bn |
| 10 | Tootsie Roll Industries | 2.69 Bn | 2.09 Bn | 52.63 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 124.40 Mn |
| Mar 31, 2026 | 122.44 Mn |
| Dec 31, 2025 | 127.75 Mn |
| Sep 30, 2025 | 127.55 Mn |
| Jun 30, 2025 | 119.54 Mn |
| Mar 31, 2025 | 107.91 Mn |
| Dec 31, 2024 | 113.76 Mn |
| Sep 30, 2024 | 111.53 Mn |
| Jun 30, 2024 | 106.83 Mn |
| Mar 31, 2024 | 103.66 Mn |
| Dec 31, 2023 | 97.75 Mn |
| Sep 30, 2023 | 88.86 Mn |
| Jun 30, 2023 | 90.27 Mn |
| Mar 31, 2023 | 84.52 Mn |
| Dec 31, 2022 | 80.00 Mn |
| Sep 30, 2022 | 76.12 Mn |
| Jun 30, 2022 | 80.45 Mn |
| Mar 31, 2022 | 92.56 Mn |
| Dec 31, 2021 | 97.93 Mn |
| Sep 30, 2021 | 91.86 Mn |
Tootsie Roll Industries Other Non-Current Liabilities 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=other-non-current-liabilities&ticker=TR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-non-current-liabilities", "ticker": "TR", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-non-current-liabilities&ticker=TR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();