Haemonetics Corporation (HAE)

Gross profit margin

Mar 31, 2025 Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020
Gross profit (ttm) US$ in thousands 748,958 727,507 711,827 694,900 687,241 671,891 652,731 640,099 615,097 595,159 575,017 539,680 505,502 450,998 432,690 415,893 397,838 429,588 437,381 458,637
Revenue (ttm) US$ in thousands 1,360,824 1,373,515 1,361,223 1,333,895 1,309,055 1,270,181 1,239,232 1,218,534 1,168,660 1,129,246 1,083,714 1,026,126 993,196 953,223 933,825 903,414 870,463 883,926 902,525 945,605
Gross profit margin 55.04% 52.97% 52.29% 52.10% 52.50% 52.90% 52.67% 52.53% 52.63% 52.70% 53.06% 52.59% 50.90% 47.31% 46.34% 46.04% 45.70% 48.60% 48.46% 48.50%

March 31, 2025 calculation

Gross profit margin = Gross profit (ttm) ÷ Revenue (ttm)
= $748,958K ÷ $1,360,824K
= 55.04%

Based on the data provided, Haemonetics Corporation's gross profit margin has shown fluctuations over the period from June 30, 2020, to March 31, 2025. The gross profit margin started at 48.50% in June 2020, experienced some variations, and then increased steadily over time.

There was a slight dip in the gross profit margin to 45.70% in March 2021, possibly due to changes in costs or pricing strategies. However, from that point on, the gross profit margin showed a positive trend, with consistent improvements quarter over quarter.

The company's gross profit margin reached a peak of 55.04% in March 2025, indicating that the company was effectively managing its production costs and generating more revenue from its core operations. This improvement suggests that Haemonetics Corporation was able to increase its profitability by either reducing costs, increasing prices, or a combination of both.

Overall, the trend in Haemonetics Corporation's gross profit margin is positive and demonstrates the company's ability to maintain healthy margins and improve operational efficiency over the analyzed period.