Отчётный звонок Old Dominion Freight Line, Inc.
April revenue per day up 7% year-over-year despite tonnage down 6.5%
ODFL reported Q1 2026 revenue down 2.9% YoY to $1.33B, with a 7.7% drop in LTL tons/day partially offset by a 4.4% increase in revenue per hundredweight. Despite the decline, management highlighted strong sequential volume improvement in February and March, marking five straight months of normal seasonal trends, and remains optimistic about a demand recovery as weights per shipment grow and industrial freight shows early signs of improvement. Q1 Revenue: $1.33B (-2.9% YoY); LTL tons/day -7.7%; LTL rev/cwt +4.4% ex-fuel.
Вывод Buzzberg April revenue per day up 7% year-over-year despite tonnage down 6.5% ODFL reported Q1 2026 revenue down 2.9% YoY to $1.33B, with a 7.7% drop in LTL tons/day partially offset by a 4.4% increase in revenue per hundredweight. Despite the decline, management highlighted strong sequential volume improvement in February and March, marking five straight months of normal seasonal trends, and remains optimistic about a demand recovery as weights per shipment grow and industrial freight shows early signs of improvement. Q1 Revenue: $1.33B (-2.9% YoY); LTL tons/day -7.7%; LTL rev/cwt +4.4% ex-fuel. Читать полный анализСвернуть анализ
ODFL reported Q1 2026 revenue down 2.9% YoY to $1.33B, with a 7.7% drop in LTL tons/day partially offset by a 4.4% increase in revenue per hundredweight. Despite the decline, management highlighted strong sequential volume improvement in February and March, marking five straight months of normal seasonal trends, and remains optimistic about a demand recovery as weights per shipment grow and industrial freight shows early signs of improvement. Q1 Revenue: $1.33B (-2.9% YoY); LTL tons/day -7.7%; LTL rev/cwt +4.4% ex-fuel.
- Operating ratio worsened 80 bps to 76.2% due to overhead deleverage, but management guided for a 300-350 bps sequential improvement in Q2.
- Volume trends show sequential improvement (Feb +4.9%, Mar +4.6%), and April revenue/day is tracking +7% YoY.
- The April weight-per-shipment is up ~1% YoY, a leading indicator of a recovering industrial economy.
Что важно сейчас
Самые значимые изменения по итогам звонка.
Management expects 2Q OR to improve 300-350 bps sequentially
Company wins more bids, sees truckload freight returning to LTL
Показать ещё 3 тезиса
Weight per shipment up over 1% in April, early sign of industrial recovery
Capacity still ample at 35% excess, ready for volume rebound
Fuel cost spike expected to create headwinds in 2Q
Фактические результаты
| Показатель | Факт | Изменение |
|---|---|---|
| Выручка | $1.3347B | +2% к/к |
| EPS | $1.14 | +5% к/к |
| Валовая маржа | 27.67% | Факт |
| Операционная маржа | 23.78% | Факт |
| Свободный денежный поток | $0.3111B | +18% к/к |
| Капзатраты | $0.0626B | Факт |
Прогноз компании
| Показатель | Период | Диапазон | Середина | Статус |
|---|---|---|---|---|
| Операционная маржа | FY2026 Q2 | 79.7%–80.2% | 79.95% | Обозначен |
Оценка менеджмента
Cautiously Optimisti
Management acknowledged continued volume declines and geopolitical risks, but expressed confidence in sequential improvement, market share wins, and long-term growth driven by superior service.
Инвестиции и мощности
Old Dominion invested nearly $2 billion in capital expenditures over the past three years despite a challenging environment, and plans to invest $265 million in 2026 to stay ahead of the growth curve and ensure capacity availability. These investments fund service center network expansion and technology upgrades to support future market share gains.
Компаниис момента звонка
Конкуренты
Management notes that post-Yellow closure, capacity was absorbed by private carriers, indicating the LTL industry remains capacity constrained, which is a positive supply signal for remaining LTL players.
Доказательства
“I think that once Yellow closed, it seems like a lot of those service centers went into the private world. And I think that a lot of that market share that Yellow had ended up with the private carriers as well.”
Цепочка поставок
Management believes the LTL industry is capacity constrained, not over-supplied, with shipments per day per service center near 2022 peak levels despite 3 years of volume decline, lowering the risk of a pricing war. — If the industry's actual spare capacity is lower than perceived, any demand uptick will be met with pricing power across the sector rather than volume discounting.
Доказательства
“when you look at the total number of service centers throughout the industry, both the public and the private carriers, you can see that from that 22 to 25 period that shipments per day per service center is down about 3%, so pretty close.”
Альфа цепочки поставок · 3с момента звонка
Management believes the LTL industry is capacity constrained, not over-supplied, with shipments per day per service center near 2022 peak levels despite 3 years of volume decline, lowering the risk of a pricing war.
Доказательства
“when you look at the total number of service centers throughout the industry, both the public and the private carriers, you can see that from that 22 to 25 period that shipments per day per service center is down about 3%, so pretty close.…”
Freight that shifted from LTL to truckload during the soft period is starting to return as truckload capacity tightens, providing a volume tailwind from mode conversion.
Доказательства
“we see some of this truckload volume that LTL went to last year and the year before, we see some of that coming back because of the tightness of the drivers and so forth.”
Management observed a return of weight per shipment growth (up ~1% YoY), typically a leading indicator of industrial freight recovering, which is higher-margin than retail freight.
Доказательства
“in April, our wait for shipment is up on a year-over-year basis a little over 1%. So, you know, that's usually a leading indicator of an improving demand environment.”
Методология и полнота
Анализ основан только на заявлениях менеджмента. Показаны все подтверждённые упоминания компаний: 3. Фактические результаты и прогнозы разделены. Публичные доказательства ограничены восемью короткими атрибутированными цитатами. AI-анализ может быть неполным или ошибочным — проверяйте важные утверждения по первоисточнику.