Tootsie Roll Industries (TR) Total Non-Current Liabilities (2009 - 2026)
Tootsie Roll Industries (TR) recorded Total Non-Current Liabilities of $202.04 million in Q2 2026, up 2.5% from $197.2 million a year earlier but down 3.0% from the prior quarter.
Tootsie Roll Industries (TR) Total Non-Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025, Tootsie Roll Industries reported Total Non-Current Liabilities of $214.96 million, up 13.4% from FY2024.
- Annual Total Non-Current Liabilities has increased for three straight years, with a five-year compound annual growth rate of 7.3% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $189.49 million in FY2024 (+13.9%), $166.4 million in FY2023 (+14.2%), $145.76 million in FY2022 (-14.2%) and $169.85 million in FY2021 (+12.2%).
- Quarterly Total Non-Current Liabilities has ranged from $141.51 million in Q3 2022 to $214.96 million in Q4 2025 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased for 13 consecutive quarters, with growth averaging 11.3% over the last eight quarters.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 15.3% in Q3 2024, against a decline of 14.2% in Q4 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $208.37 million (Q1 2026), $214.96 million (Q4 2025) and $203.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | 34.56 Bn |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 42.64 Bn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | 8.76 Bn |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | 35.62 Bn |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | 21.57 Bn |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 8.16 Bn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | 8.50 Bn |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | 5.23 Bn |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 3.32 Bn |
| 10 | Tootsie Roll Industries | 2.82 Bn | 2.21 Bn | 52.63 Mn | 202.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 202.04 Mn |
| Mar 31, 2026 | 208.37 Mn |
| Dec 31, 2025 | 214.96 Mn |
| Sep 30, 2025 | 203.07 Mn |
| Jun 30, 2025 | 197.20 Mn |
| Mar 31, 2025 | 184.52 Mn |
| Dec 31, 2024 | 189.49 Mn |
| Sep 30, 2024 | 180.67 Mn |
| Jun 30, 2024 | 174.74 Mn |
| Mar 31, 2024 | 172.08 Mn |
| Dec 31, 2023 | 166.40 Mn |
| Sep 30, 2023 | 156.71 Mn |
| Jun 30, 2023 | 157.92 Mn |
| Mar 31, 2023 | 150.89 Mn |
| Dec 31, 2022 | 145.76 Mn |
| Sep 30, 2022 | 141.51 Mn |
| Jun 30, 2022 | 149.63 Mn |
| Mar 31, 2022 | 163.09 Mn |
| Dec 31, 2021 | 169.85 Mn |
| Sep 30, 2021 | 164.29 Mn |
Tootsie Roll Industries Total 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=total-non-current-liabilities&ticker=TR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-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=total-non-current-liabilities&ticker=TR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();