Northern Technologies International (NTIC) Return on Sales [ROS] (2010 - 2026)
Northern Technologies International (NTIC) reported Return on Sales [ROS] of 2.13% for fiscal Q3 2026 (quarter ended May 31, 2026), down 1.90 percentage points from 4.03% a year earlier but up 0.39 percentage points from the prior quarter.
Northern Technologies International (NTIC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended May 31, 2026, Northern Technologies International's Return on Sales [ROS] came in at 3.01%, down 2.16 percentage points year-over-year; for FY2025 (ended Aug 31, 2025), it came in at 3.05%, down 6.20 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -0.28 percentage points (FY2020 to FY2025).
- By fiscal year, Return on Sales [ROS] came in at 9.25% in FY2024 (+1.72 pp), 7.53% in FY2023 (+0.59 pp), 6.94% in FY2022 (-7.79 pp) and 14.73% in FY2021 (+11.40 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -1.75% in fiscal Q2 2025 and a high of 14.57% in fiscal Q4 2021.
- Year over year, Return on Sales [ROS] gained in 1 of the last eight quarters, with an average year-over-year change of -3.08 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was fiscal Q4 2021 (a gain of 14.33 percentage points); the low point was fiscal Q2 2025 (a drop of 12.33 percentage points).
- Per Business Quant data, the three fiscal quarters before Q3 2026 came in at 1.74% (Q2 2026), 4.01% (Q1 2026) and 4.16% (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Linde | 235.27 Bn | 218.38 Bn | 4.43 Bn | 27.49% |
| 2 | Corning | 106.79 Bn | 99.92 Bn | 1.63 Bn | 15.49% |
| 3 | Sherwin Williams | 83.92 Bn | 82.96 Bn | 3.34 Bn | 18.18% |
| 4 | Air Products & Chemicals | 68.64 Bn | 66.53 Bn | 1.04 Bn | -66.34% |
| 5 | LyondellBasell Industries | 42.22 Bn | 31.84 Bn | 2.04 Bn | 16.81% |
| 6 | Nutrien | 33.30 Bn | 30.16 Bn | 3.25 Bn | 16.44% |
| 7 | Ppg Industries | 25.14 Bn | 17.94 Bn | 1.81 Bn | 14.73% |
| 8 | International Flavors & Fragrances | 23.95 Bn | 21.65 Bn | 853.00 Mn | 8.09% |
| 9 | Dow | 22.98 Bn | 7.98 Bn | 2.17 Bn | 7.62% |
| 10 | Northern Technologies International | 72.65 Mn | 49.72 Mn | 8.14 Mn | 2.13% |
Historic Data
| Date | Value |
|---|---|
| May 31, 2026 | 2.13% |
| Feb 28, 2026 | 1.74% |
| Nov 30, 2025 | 4.01% |
| Aug 31, 2025 | 4.16% |
| May 31, 2025 | 4.03% |
| Feb 28, 2025 | -1.75% |
| Nov 30, 2024 | 5.19% |
| Aug 31, 2024 | 11.83% |
| May 31, 2024 | 7.37% |
| Feb 29, 2024 | 10.59% |
| Nov 30, 2023 | 6.82% |
| Aug 31, 2023 | 11.93% |
| May 31, 2023 | 9.09% |
| Feb 28, 2023 | 4.45% |
| Nov 30, 2022 | 4.16% |
| Aug 31, 2022 | 7.97% |
| May 31, 2022 | 9.61% |
| Feb 28, 2022 | 2.66% |
| Nov 30, 2021 | 6.96% |
| Aug 31, 2021 | 14.57% |
Northern Technologies International Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=NTIC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "NTIC", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=return-on-sales-%5Bros%5D&ticker=NTIC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();