Tootsie Roll Industries (TR) Property, Plant & Equipment (Net) (2009 - 2026)
Tootsie Roll Industries' Property, Plant & Equipment (Net) came in at $247.41 million for Q2 2026, up 11.0% from $222.88 million a year earlier and up 2.2% from the prior quarter.
Powered by 
Analysis
Tootsie Roll Industries (TR) Property, Plant & Equipment (Net) (2009 - 2026) Analysis & Trends
At the end of FY2025, Tootsie Roll Industries' Property, Plant & Equipment (Net) was $237.76 million, up 8.2% from FY2024.
- Property, Plant & Equipment (Net) carries a five-year compound annual growth rate of 4.9% (FY2020 to FY2025).
- Going back by year, Property, Plant & Equipment (Net) was $219.8 million in FY2024 (-1.4%), $222.98 million in FY2023 (+5.2%), $212.04 million in FY2022 (+1.5%) and $208.91 million in FY2021 (+11.5%).
- The Q2 2026 figure represents the highest quarterly Property, Plant & Equipment (Net) in data going back to Q2 2009.
- Year-over-year, Property, Plant & Equipment (Net) has increased for five consecutive quarters, with growth averaging 4.2% over the last eight quarters.
- The fastest year-over-year change in Property, Plant & Equipment (Net) over five years came in Q1 2022 (growth of 12.0%), and the weakest in Q4 2024 (a decline of 1.4%).
- Business Quant data shows TR's Property, Plant & Equipment (Net) at $242.04 million (Q1 2026), $237.76 million (Q4 2025) and $230.02 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Unilever | 130.23 Bn | 105.59 Bn | - | 10.88 Bn |
| 2 | Mondelez International | 74.27 Bn | 67.59 Bn | 3.99 Bn | 10.65 Bn |
| 3 | Hershey | 32.39 Bn | 28.63 Bn | 1.26 Bn | 3.48 Bn |
| 4 | Kraft Heinz | 26.34 Bn | 12.87 Bn | 2.03 Bn | 7.20 Bn |
| 5 | General Mills | 17.12 Bn | 14.77 Bn | 1.49 Bn | 3.38 Bn |
| 6 | J M Smucker | 12.52 Bn | 12.30 Bn | 979.60 Mn | 3.02 Bn |
| 7 | Mccormick | 12.03 Bn | 11.67 Bn | 794.90 Mn | 1.54 Bn |
| 8 | Hormel Foods | 11.14 Bn | 7.83 Bn | 471.52 Mn | 2.16 Bn |
| 9 | Chewy | 7.29 Bn | 4.58 Bn | 1.01 Bn | 624.80 Mn |
| 10 | Tootsie Roll Industries | 2.85 Bn | 2.25 Bn | 52.63 Mn | 247.41 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 247.41 Mn |
| Mar 31, 2026 | 242.04 Mn |
| Dec 31, 2025 | 237.76 Mn |
| Sep 30, 2025 | 230.02 Mn |
| Jun 30, 2025 | 222.88 Mn |
| Mar 31, 2025 | 220.29 Mn |
| Dec 31, 2024 | 219.80 Mn |
| Sep 30, 2024 | 221.13 Mn |
| Jun 30, 2024 | 220.74 Mn |
| Mar 31, 2024 | 221.09 Mn |
| Dec 31, 2023 | 222.98 Mn |
| Sep 30, 2023 | 217.42 Mn |
| Jun 30, 2023 | 214.32 Mn |
| Mar 31, 2023 | 211.94 Mn |
| Dec 31, 2022 | 212.04 Mn |
| Sep 30, 2022 | 210.85 Mn |
| Jun 30, 2022 | 212.13 Mn |
| Mar 31, 2022 | 210.13 Mn |
| Dec 31, 2021 | 208.91 Mn |
| Sep 30, 2021 | 206.33 Mn |
API Access
Tootsie Roll Industries Property, Plant & Equipment (Net) 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=property-plant-and-equipment-net&ticker=TR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-net", "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=property-plant-and-equipment-net&ticker=TR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();