Tootsie Roll Industries (TR) Non-Current Assets (2009 - 2026)
Tootsie Roll Industries' Non-Current Assets came in at $934.68 million for Q2 2026, up 14.4% from $816.69 million a year earlier and up 1.1% from the prior quarter.
Tootsie Roll Industries (TR) Non-Current Assets (2009 - 2026) Analysis & Trends
At the end of FY2025, Tootsie Roll Industries' Non-Current Assets was $932.51 million, up 14.6% from FY2024.
- Non-Current Assets has increased in each of the last three years, with a five-year compound annual growth rate of 7.0% (FY2020 to FY2025).
- Going back by year, Non-Current Assets was $813.58 million in FY2024 (+9.4%), $743.74 million in FY2023 (+4.8%), $709.75 million in FY2022 (-5.4%) and $750.32 million in FY2021 (+13.1%).
- The Q2 2026 figure represents the highest quarterly Non-Current Assets in data going back to Q2 2009.
- Year-over-year, Non-Current Assets has increased for 12 consecutive quarters, with growth averaging 11.1% over the last eight quarters.
- The fastest year-over-year change in Non-Current Assets over five years came in Q3 2025 (growth of 15.3%), and the weakest in Q4 2022 (a decline of 5.4%).
- Business Quant data shows TR's Non-Current Assets at $924.52 million (Q1 2026), $932.51 million (Q4 2025) and $925.36 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 133.59 Bn | 108.95 Bn | - | 64.56 Bn |
| 2 | Mondelez International | 75.71 Bn | 69.03 Bn | 3.99 Bn | 58.31 Bn |
| 3 | Hershey | 32.64 Bn | 28.88 Bn | 1.26 Bn | 10.02 Bn |
| 4 | Kraft Heinz | 27.82 Bn | 14.35 Bn | 2.03 Bn | 63.81 Bn |
| 5 | General Mills | 18.09 Bn | 15.75 Bn | 1.49 Bn | 25.39 Bn |
| 6 | Mccormick | 13.03 Bn | 12.90 Bn | 778.20 Mn | 13.69 Bn |
| 7 | J M Smucker | 12.89 Bn | 12.68 Bn | 979.60 Mn | 14.21 Bn |
| 8 | Hormel Foods | 10.92 Bn | 7.61 Bn | 471.52 Mn | 9.77 Bn |
| 9 | Chewy | 7.33 Bn | 4.62 Bn | 1.01 Bn | 1.90 Bn |
| 10 | Tootsie Roll Industries | 2.85 Bn | 2.24 Bn | 52.63 Mn | 934.68 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 934.68 Mn |
| Mar 31, 2026 | 924.52 Mn |
| Dec 31, 2025 | 932.51 Mn |
| Sep 30, 2025 | 925.36 Mn |
| Jun 30, 2025 | 816.69 Mn |
| Mar 31, 2025 | 812.58 Mn |
| Dec 31, 2024 | 813.58 Mn |
| Sep 30, 2024 | 802.81 Mn |
| Jun 30, 2024 | 778.72 Mn |
| Mar 31, 2024 | 764.91 Mn |
| Dec 31, 2023 | 743.74 Mn |
| Sep 30, 2023 | 729.85 Mn |
| Jun 30, 2023 | 719.40 Mn |
| Mar 31, 2023 | 715.12 Mn |
| Dec 31, 2022 | 709.75 Mn |
| Sep 30, 2022 | 702.29 Mn |
| Jun 30, 2022 | 720.36 Mn |
| Mar 31, 2022 | 737.19 Mn |
| Dec 31, 2021 | 750.32 Mn |
| Sep 30, 2021 | 737.54 Mn |
Tootsie Roll Industries Non-Current Assets 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=non-current-assets&ticker=TR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=TR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();