Tootsie Roll Industries (TR) Depreciation and Depletion (2019 - 2026)
Tootsie Roll Industries (TR) reported Depreciation and Depletion of $282,000 for Q2 2026, up 224.1% from $87,000 a year earlier but down 98.6% from the prior quarter.
Tootsie Roll Industries (TR) Depreciation and Depletion (2019 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Tootsie Roll Industries' Depreciation and Depletion came in at $21.31 million, up 5.6% year-over-year; for FY2025, it was $20.18 million, up 5.9% from FY2024.
- Depreciation and Depletion has increased for six consecutive years, with a five-year compound annual growth rate of 6.4% (FY2020 to FY2025).
- By year, Depreciation and Depletion came in at $19.05 million in FY2024 (+6.1%), $17.96 million in FY2023 (+6.3%), $16.9 million in FY2022 (+6.7%) and $15.84 million in FY2021 (+7.2%).
- Five-year quarterly Depreciation and Depletion spans a low of $87,000 in Q2 2025 and a high of $20.46 million in Q1 2026.
- Year over year, Depreciation and Depletion gained in five of the last eight quarters, with growth averaging 22.8%.
- The high point for year-over-year Depreciation and Depletion in five years was Q2 2026 (growth of 224.1%); the low point was Q4 2021 (a decline of 86.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $20.46 million (Q1 2026), $282,000 (Q4 2025) and $281,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 132.43 Bn | 107.80 Bn | - | - |
| 2 | Mondelez International | 73.80 Bn | 67.12 Bn | 3.99 Bn | 227.00 Mn |
| 3 | Hershey | 31.86 Bn | 28.11 Bn | 1.26 Bn | - |
| 4 | Kraft Heinz | 26.96 Bn | 13.49 Bn | 2.03 Bn | - |
| 5 | General Mills | 17.20 Bn | 14.85 Bn | 1.49 Bn | - |
| 6 | J M Smucker | 12.70 Bn | 12.49 Bn | 979.60 Mn | 69.60 Mn |
| 7 | Mccormick | 12.49 Bn | 12.36 Bn | 778.20 Mn | - |
| 8 | Hormel Foods | 10.97 Bn | 7.66 Bn | 471.52 Mn | - |
| 9 | Chewy | 7.31 Bn | 4.59 Bn | 1.01 Bn | 24.50 Mn |
| 10 | Tootsie Roll Industries | 2.82 Bn | 2.21 Bn | 52.63 Mn | 282,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 282,000.00 |
| Mar 31, 2026 | 20.46 Mn |
| Dec 31, 2025 | 282,000.00 |
| Sep 30, 2025 | 281,000.00 |
| Jun 30, 2025 | 87,000.00 |
| Mar 31, 2025 | 19.53 Mn |
| Dec 31, 2024 | 298,000.00 |
| Sep 30, 2024 | 264,000.00 |
| Jun 30, 2024 | 265,000.00 |
| Mar 31, 2024 | 18.23 Mn |
| Dec 31, 2023 | 265,000.00 |
| Sep 30, 2023 | 265,000.00 |
| Jun 30, 2023 | 264,000.00 |
| Mar 31, 2023 | 17.17 Mn |
| Dec 31, 2022 | 265,000.00 |
| Sep 30, 2022 | 265,000.00 |
| Jun 30, 2022 | 265,000.00 |
| Mar 31, 2022 | 16.11 Mn |
| Dec 31, 2021 | 530,000.00 |
| Jun 30, 2021 | 313,000.00 |
Tootsie Roll Industries Depreciation and Depletion 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=depreciation-and-depletion&ticker=TR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=TR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();